Prof. Luciano Alparone Profile

Prof. Luciano Alparone

Associate Professor at Univ degli Studi di Firenze

SPIE Involvement:

Author

Publications (101)

Proceedings Article | 20 November 2024 Presentation + Paper

Enhancing spatial resolution of OLI 100m thermal bands through hypersharpening of 30m spectral bands

Andrea Garzelli, Alberto Arienzo, Luciano Alparone, Simone Lolli

Proceedings Volume 13196, 1319603 (2024) https://doi.org/10.1117/12.3031446

KEYWORDS: Image sharpness, Image fusion, Landsat, Spatial resolution, Image resolution, Thermography, Data fusion, Short wave infrared radiation, Resolution enhancement technologies, Reflectivity

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Proceedings Article | 19 October 2023 Presentation + Paper

Full-scale assessment of pansharpening: why literature indexes may give contradictory results and how to avoid such an inconvenience

Luciano Alparone, Andrea Garzelli, Simone Lolli, Claudia Zoppetti

Proceedings Volume 12733, 1273302 (2023) https://doi.org/10.1117/12.2684389

KEYWORDS: Image fusion, Image quality, Distortion, Image sensors, Spatial resolution, Image resolution, Data fusion, Image sharpness

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Proceedings Article | 26 October 2022 Presentation + Paper

Fusion of optical and SAR satellite data for environmental monitoring: assessment of damages and disturbances originated by forest fires

Luciano Alparone, Alberto Arienzo, Andrea Garzelli, Simone Lolli, Claudia Zoppetti

Proceedings Volume 12267, 122670E (2022) https://doi.org/10.1117/12.2638984

KEYWORDS: Synthetic aperture radar, Polarimetry, Vegetation, Image enhancement, Spatial resolution, Reflectivity, Data fusion, Near infrared, Modulation, Atmospheric modeling

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Proceedings Article | 12 September 2021 Presentation + Paper

Performance of pansharpening methods varying with input data formats

A. Arienzo, B. Aiazzi, L. Alparone, A. Garzelli, C. Zoppetti

Proceedings Volume 11862, 1186208 (2021) https://doi.org/10.1117/12.2600509

KEYWORDS: Data fusion, Image fusion, Calibration, Reflectivity, Data conversion, Remote sensing, Data modeling, Image enhancement

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Proceedings Article | 14 October 2020 Presentation + Paper

Impact of a spatial decorrelation of the noise on the estimation accuracy of temporal changes in the scene from a couple of single-look SAR images

Andrea Garzelli, Bruno Aiazzi, Luciano Alparone, Fabrizio Argenti, Alberto Arienzo, Claudia Zoppetti

Proceedings Volume 11533, 115330H (2020) https://doi.org/10.1117/12.2574601

KEYWORDS: Synthetic aperture radar, Speckle, Interference (communication), Stanford Linear Collider, Signal processing, Environmental monitoring, Coherence imaging, Imaging systems, Visualization, Spatial frequencies

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SAR raw data are usually oversampled and spectrally weighted along the Fourier-domain processing chain, to avoid Gibbs effects around point targets. During the range and azimuth SAR focusing operations, the use of matched filters, whose frequency responses are smoothed by means of tapering functions, such as Hamming, Taylor, or Kaiser windows, introduces a significant degree of spatial correlation of the noise in the single-look complex 2D signal at the output of the SAR processor. In this work, we make use an unsupervised procedure for the spatial decorrelation of fully-developed speckle, originally developed for improving the despeckling performance in the case of single-look SAR images [Lapini et al., 2014]. Now, the goal is evaluating the impact of a preliminary spatial decorrelation of the noise on the accuracy of temporal change detection between two single-look images of the same scene taken at different times. In a likely simulated scenario, we optionally introduce a spatial correlation of the noise in the synthetic complex data by means of a 2D separable Hamming window in the Fourier domain. Then, we remove such a correlation by using the whitening procedure, take the modulus of the SLC images, apply change detection algorithms suitable for detected data, and compare the geometric and radiometric accuracy of the estimated change maps for the three following cases: uncorrelated noise, correlated noise, and decorrelated noise. Several change detection methods are considered: from the simple Log-Ratio operator preceded by despeckling, to more advanced parametric or nonparametric methods based on the Kullback-Leibler divergence [Inglada and Mercier, 2007] or on the mean-shift clustering of the bivariate scatterplot [Aiazzi et al., 2013]. Simulation results show a consistent improvement of performance, notably the geometric accuracy of changes, but also their local extent. The benefits of noise decorrelation are noticeable in experiments carried out on true COSMO-SkyMed images.

Proceedings Article | 30 September 2020 Poster + Presentation + Paper

HEAD: a robust high-resolution satellite image-based aerosol optical depth retrieval algorithm in the blue wavelength range using Kalman filters

Simone Lolli, Gemine Vivone, Alberto Arienzo, Andrea Garzelli, Luciano Alparone, Muhammad Bilal

Proceedings Volume 11531, 115310W (2020) https://doi.org/10.1117/12.2574277

KEYWORDS: Aerosols, Head, Satellite imaging, Earth observing sensors, Satellites, Filtering (signal processing), Atmospheric particles, Atmospheric modeling, Solar radiation models, Algorithm development

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Proceedings Article | 7 October 2019 Presentation + Paper

Fast multispectral pansharpening based on a hyper-ellipsoidal color space

Bruno Aiazzi, Luciano Alparone, Alberto Arienzo, Andrea Garzelli, Simone Lolli

Proceedings Volume 11155, 1115507 (2019) https://doi.org/10.1117/12.2533481

KEYWORDS: Atmospheric modeling, Picosecond phenomena, Image fusion, Atmospheric corrections, Air contamination, Remote sensing, Multispectral imaging, Spectral resolution, Spatial resolution, Spatial frequencies

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Proceedings Article | 7 October 2019 Presentation + Paper

Monitoring of changes in vegetation status through integration of time series of hyper-sharpened Sentinel-2 red-edge bands and information-theoretic textural features of Sentinel-1 SAR backscatter

B. Aiazzi, L. Alparone, A. Arienzo, A. Garzelli, C. Zoppetti

Proceedings Volume 11155, 111550Z (2019) https://doi.org/10.1117/12.2533588

KEYWORDS: Synthetic aperture radar, Vegetation, Backscatter, Spatial resolution, Near infrared, Space operations, Satellites, Short wave infrared radiation, Polarization, Microwave radiation

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Proceedings Article | 9 October 2018 Presentation + Paper

High-resolution satellite aerosol optical depth retrieval and its variability over highly industrialized hotspots in the Po Valley, Italy

Simone Lolli, Luciano Alparone, Muhammad Bilal, Andrea Garzelli, Gemine Vivone

Proceedings Volume 10786, 1078606 (2018) https://doi.org/10.1117/12.2325853

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric particles, Atmospheric optics, Radiative transfer, Satellites, Polonium, Earth observing sensors, Image fusion, Data modeling

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Proceedings Article | 9 October 2018 Presentation + Paper

Deployment of pansharpening for correction of local misalignments between MS and Pan

B. Aiazzi, L. Alparone, A. Arienzo, S. Baronti, A. Garzelli, L. Santurri

Proceedings Volume 10789, 1078902 (2018) https://doi.org/10.1117/12.2326611

KEYWORDS: Image fusion, Image quality, Satellites

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Proceedings Article | 4 October 2017 Presentation + Paper

Benefits of haze removal for modulation-based pansharpening

Simone Lolli, Luciano Alparone, Andrea Garzelli, Gemine Vivone

Proceedings Volume 10427, 1042707 (2017) https://doi.org/10.1117/12.2279086

KEYWORDS: Atmospheric modeling, Radiative transfer, Image fusion, Earth observing sensors, High resolution satellite images

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Proceedings Article | 15 October 2015 Paper

Are spectral or spatial methods better for pansharpening? An evaluation for four sample methods based on spatial modulation of pixel spectra

Luciano Alparone, Andrea Garzelli, Gemine Vivone

Proceedings Volume 9643, 96430V (2015) https://doi.org/10.1117/12.2196193

KEYWORDS: Image fusion, Image filtering, Modulation transfer functions, Image processing, Computer simulations, Earth observing sensors, Principal component analysis, Discrete wavelet transforms, High resolution satellite images, Image enhancement

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Proceedings Article | 12 October 2015 Paper

OPTIMA: advanced methods for the analysis, integration, and optimization of PRISMA mission products

Donatella Guzzi, Ivan Pippi, Bruno Aiazzi, Stefano Baronti, Roberto Carlà, Cinzia Lastri, Vanni Nardino, Valentina Raimondi, Leonardo Santurri, Massimo Selva, Luciano Alparone, Andrea Garzelli, Ettore Lopinto, Cristina Ananasso, Alessandro Barducci

Proceedings Volume 9639, 96391R (2015) https://doi.org/10.1117/12.2195345

KEYWORDS: Reflectivity, Atmospheric corrections, Sensors, Cameras, Algorithm development, Hyperspectral imaging, Image fusion, Spectral resolution, Hyperspectral simulation, Spatial resolution

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Proceedings Article | 23 October 2014 Paper

Full-scale assessment of pansharpening methods and data products

B. Aiazzi, L. Alparone, S. Baronti, R. Carlà, A. Garzelli, L. Santurri

Proceedings Volume 9244, 924402 (2014) https://doi.org/10.1117/12.2067770

KEYWORDS: Distortion, Image fusion, Image resolution, Spatial resolution, Image quality, Data fusion, Spectral resolution, Image filtering, Quality measurement, Optical filters

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Proceedings Article | 21 October 2014 Paper

Benefits of blind speckle decorrelation for InSAR processing

F. Sica, L. Alparone, F. Argenti, G. Fornaro, A. Lapini, D. Reale

Proceedings Volume 9243, 92430D (2014) https://doi.org/10.1117/12.2068717

KEYWORDS: Interferometry, Synthetic aperture radar, Speckle, Stanford Linear Collider, Backscatter, Phase interferometry, Buildings, Seaborgium, Image processing, Radar

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Proceedings Article | 24 October 2013 Paper

Validation and simulation examples of an end-to-end simulator for optical imaging systems

Peter Coppo, Leandro Chiarantini, Luciano Alparone

Proceedings Volume 8889, 88891N (2013) https://doi.org/10.1117/12.2028965

KEYWORDS: Device simulation, Reflectivity, Atmospheric modeling, Sensors, Soil science, Image quality, Short wave infrared radiation, Computer simulations, Data modeling, Spatial resolution

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Proceedings Article | 23 October 2013 Paper

Pansharpening of hyperspectral images: a critical analysis of requirements and assessment on simulated PRISMA data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva

Proceedings Volume 8892, 889203 (2013) https://doi.org/10.1117/12.2030560

KEYWORDS: Image fusion, Hyperspectral imaging, Spatial resolution, Hyperspectral simulation, Data fusion, Spectral resolution, Digital filtering, Distortion, Modulation transfer functions, Visible radiation

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SPIE Journal Paper | 25 July 2013 Open Access

Information-theoretic assessment of on-board near-lossless compression of hyperspectral data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri, Massimo Selva

JARS, Vol. 7, Issue 01, 074597, (July 2013) https://doi.org/10.1117/12.10.1117/1.JRS.7.074597

KEYWORDS: Data modeling, Image compression, Distortion, Data compression, Satellites, Data acquisition, Photons, Hyperspectral imaging, Satellite imaging, Signal to noise ratio

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Proceedings Article | 21 November 2012 Paper

An experimental setup for multiresolution despeckling of COSMO-SkyMed image products

Bruno Aiazzi, Luciano Alparone, Fabrizio Argenti, Stefano Baronti, Tiziano Bianchi, Alessandro Lapini

Proceedings Volume 8536, 853603 (2012) https://doi.org/10.1117/12.977635

KEYWORDS: Speckle, Synthetic aperture radar, Wavelets, Image quality, Image filtering, Image segmentation, Wavelet transforms, Stanford Linear Collider, Spatial filters, Image processing

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This paper describes the most recent achievements in speckle reduction of COSMO-SkyMed (CSK ®) synthetic aperture radar (SAR) data. An advanced multresolution despeckling filter, based on undecimated wavelet transform (UDWT) and maximum a-posteriori (MAP) estimation has been specialized and optimized to CSK ® data, both single- and multilook. The tradeoff between performances and computational complexity has been investigated: Laplacian-Gaussian and generalized Gaussian (GG) priors for MAP estimation in UDWT domain differ by one order of magnitude in computation cost. The former are more complex but yield the best results attainable with a Bayesian estimation carried out in the UDWT domain. Pre-processing of point targets and segmentation of wavelet planes has been exploited to effectively handle the heterogeneity of the data. The effects of multilooking have been investigated. Starting from single-look complex (SLC) data, the spatial correlation coefficients (CC) of speckle and the equivalent number of looks (ENL) of all products have been theoretically calculated. It is proven that, besides having an inherently better radiometric quality, multilooked products exhibit a lower spatial correlation of speckle than single-look products, thereby better falling under the assumption of uncorrelated speckle, exploited by the majority of model-based despeckling filters, included those used in the present work. The effects of spatial resampling have been investigated as well. Unlike MAP filters in spatial domain (e.g. the Gamma-MAP filter), MAP filters in wavelet domain are little sensitive to resampling, because the fundamental hypotheses on which they rely are not violated because of resampling. Comparisons with the state of the art are also provided and shown to be more than favorable. Besides traditional supervised methods to evaluate the quality of despeckling, a novel procedure, fully automated, based on bivariate analysis of noisy and denoised image has been devised. Its results agree both with visual analysis and with manual measurements.

Proceedings Article | 8 November 2012 Paper

Advantages of Laplacian pyramids over ''à trous'' wavelet transforms for pansharpening of multispectral images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva

Proceedings Volume 8537, 853704 (2012) https://doi.org/10.1117/12.976298

KEYWORDS: Modulation transfer functions, Image filtering, Optical filters, Image fusion, Linear filtering, Wavelets, Digital filtering, Wavelet transforms, Bandpass filters, Spatial resolution

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Proceedings Article | 8 November 2012 Paper

Blind whitening of correlated speckle to enforce despeckling of single-look high-resolution SAR images

Alessandro Lapini, Tiziano Bianchi, Fabrizio Argenti, Luciano Alparone

Proceedings Volume 8537, 85370Z (2012) https://doi.org/10.1117/12.976850

KEYWORDS: Synthetic aperture radar, Speckle, Seaborgium, Stanford Linear Collider, Image filtering, Statistical analysis, Backscatter, Image processing, Radar, Signal processing

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SPIE Journal Paper | 11 September 2012

Design and validation of an end-to-end simulator for imaging spectrometers

Peter Coppo, Leandro Chiarantini, Luciano Alparone

OE, Vol. 51, Issue 11, 111721, (September 2012) https://doi.org/10.1117/12.10.1117/1.OE.51.11.111721

KEYWORDS: Device simulation, Data modeling, Reflectivity, Atmospheric modeling, Sensors, Signal to noise ratio, Hyperspectral simulation, Intelligence systems, Soil science, Satellites

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Proceedings Article | 27 October 2011 Paper

Multispectral pansharpening based on pixel modulation: state of the art and new results

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva

Proceedings Volume 8180, 818002 (2011) https://doi.org/10.1117/12.898770

KEYWORDS: Image fusion, Distortion, Modulation, Earth observing sensors, High resolution satellite images, Darmstadtium, Spectral resolution, Sensors, Spatial resolution, Image resolution

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Proceedings Article | 27 October 2011 Paper

An unsupervised method for quality assessment of despeckling: an evaluation on COSMO-SkyMed data

B. Aiazzi, L. Alparone, F. Argenti, S. Baronti, T. Bianchi, A. Lapini

Proceedings Volume 8179, 81790D (2011) https://doi.org/10.1117/12.898534

KEYWORDS: Image filtering, Synthetic aperture radar, Speckle, Image segmentation, Image processing, Wavelets, Quality measurement, Device simulation, Visualization, Error analysis

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Proceedings Article | 23 October 2010 Paper

An evaluation of Bayesian estimators and PDF models for despeckling in the undecimated wavelet domain

Luciano Alparone, Fabrizio Argenti, Tiziano Bianchi, Alessandro Lapini

Proceedings Volume 7829, 782902 (2010) https://doi.org/10.1117/12.866189

KEYWORDS: Wavelets, Synthetic aperture radar, Reflectivity, Interference (communication), Image filtering, Speckle, Image segmentation, Error analysis, Image processing, Wavelet transforms

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Proceedings Article | 13 October 2010 Paper

A theoretical evaluation of aliasing and misregistration effects on pansharpening methods

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Massimo Selva

Proceedings Volume 7830, 783002 (2010) https://doi.org/10.1117/12.865980

KEYWORDS: Image fusion, Optical filters, Data fusion, Image filtering, Data modeling, Modulation transfer functions, Spatial filters, Earth observing sensors, High resolution satellite images, Spectral resolution

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Proceedings Article | 8 September 2010 Paper

Recent achievements in lossless compression of hyperspectral data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli

Proceedings Volume 7799, 77990G (2010) https://doi.org/10.1117/12.861530

KEYWORDS: Calibration, Image compression, Data compression, Fuzzy logic, Data conversion, Detection and tracking algorithms, Hyperspectral imaging, Error analysis, Data modeling, Computer programming

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Proceedings Article | 28 September 2009 Paper

Fast weighted least squares pan-sharpening

Andrea Garzelli, Luciano Alparone, Luca Capobianco, Filippo Nencini

Proceedings Volume 7477, 747706 (2009) https://doi.org/10.1117/12.830417

KEYWORDS: Data fusion, Image fusion, Earth observing sensors, High resolution satellite images, Vegetation, Image resolution, Data modeling, Spatial resolution, Distortion, Image quality

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Proceedings Article | 14 October 2008 Paper

Satellite-based enhancement of archaeological marks through data fusion techniques

Rosa Lasaponara, Nicola Masini, Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 7110, 711024 (2008) https://doi.org/10.1117/12.801569

KEYWORDS: Satellites, Data fusion, Spatial resolution, Satellite imaging, Earth observing sensors, Image fusion, Near infrared, Vegetation, Image resolution, Optical inspection

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Proceedings Article | 10 October 2008 Paper

Information-theoretic multitemporal features for change analysis from SAR images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Filippo Nencini

Proceedings Volume 7109, 71090S (2008) https://doi.org/10.1117/12.800739

KEYWORDS: Synthetic aperture radar, Information technology, Statistical analysis, Image analysis, Electronic filtering, Speckle, Floods, Remote sensing, Optical sensors, Satellite imaging

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Proceedings Article | 30 October 2007 Paper

Assessment of quality parameters for a new-generation hyperspectral imager

Bruno Aiazzi, Luciano Alparone, Alessandro Barducci, Stefano Baronti, Donatella Guzzi, Paolo Marcoionni, Ivan Pippi, Massimo Selva

Proceedings Volume 6748, 67480Q (2007) https://doi.org/10.1117/12.739486

KEYWORDS: Signal to noise ratio, Short wave infrared radiation, Interference (communication), Sensors, Hyperspectral imaging, Image quality, Statistical analysis, Signal processing, Imaging systems, Spectroscopy

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Proceedings Article | 26 October 2007 Paper

Interband distortion allocation in lossy compression of hyperspectral imagery: impact on global distortion metrics and discrimination of materials

Cinzia Lastri, Bruno Aiazzi, Stefano Baronti, Luciano Alparone

Proceedings Volume 6748, 67480M (2007) https://doi.org/10.1117/12.738779

KEYWORDS: Distortion, Baryon acoustic oscillations, Image compression, Reflectivity, JPEG2000, Hyperspectral imaging, Quantization, Data compression, Remote sensing, Algorithm development

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The problem of distortion allocation varying with wavelength in lossy compression of hyperspectral imagery is investigated. Distortion is generally measured either as maximum absolute deviation (MAD) for near-lossless methods, e.g. differential pulse code modulation (DPCM), or as mean square error (MSE) for lossy methods (e.g. spectral decorrelation followed by JPEG 2000). Also the absolute angular error, or spectral angle mapper (SAM), is used to quantify spectral distortion. A band add-on (BAO) technique was recently introduced to calculate a modified version of SAM. Spectral bands are iteratively selected in order to increase the angular separation between two pixel spectra by exploiting a mathematical decomposition of SAM. As a consequence, only a subset of the original hyperspectral bands contributes to the new distance metrics, referred to as BAO-SAM, whose operational definition guarantees its monotonicity as the number of bands increases. Two strategies of interband distortion allocation are compared: given a target average bit rate, distortion, either MAD or MSE, may be set to be constant varying with wavelength. Otherwise it may be allocated proportionally to the noise level on each band, according to the virtually-lossless protocol. Thus, a different quantization step size depending on the estimated standard deviation of the noise, is used to quantize either prediction residuals (DPCM) or wavelet coefficients (JPEG 2000) of each spectral band, thereby determining band-varying MAD/MSE values. Comparisons with the uncompressed originals show that the average spectral angle mapper (SAM) is minimized by constant distortion allocation. Conversely, the average BAO-SAM is minimized by the noise-adjusted variable spectral distortion allocation according to the virtually lossless protocol. Preliminary results of simulations performed on reflectance data obtained from compressed radiance data show that, for a given compression ratio, the virtually-lossless approach minimizes both BAO-SAM and SAM; hence, discrimination of spectrally similar materials, e.g. clays, is significantly expedited.

Proceedings Article | 18 October 2007 Paper

An information-theoretic feature for identifying changes in multitemporal SAR images: an evaluation for the detection of flooded areas

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Tommaso Moramarco, Claudia Pandolfo, Marco Stelluti

Proceedings Volume 6746, 674609 (2007) https://doi.org/10.1117/12.739490

KEYWORDS: Synthetic aperture radar, Information technology, Floods, Statistical analysis, Speckle, Backscatter, Satellites, Image analysis, Electronic filtering, Satellite imaging

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Proceedings Article | 29 September 2006 Paper

A modified band add-on spectral angle mapper (BAO-SAM) distance metrics: a new tool to evaluate lossy compression of hyperspectral imagery

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri

Proceedings Volume 6365, 63650K (2006) https://doi.org/10.1117/12.690781

KEYWORDS: Distortion, Baryon acoustic oscillations, Image compression, Hyperspectral imaging, Quantization, Data compression, Error analysis, Algorithm development, Image analysis, Signal processing

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Proceedings Article | 29 September 2006 Paper

Can multiresolution fusion techniques improve classification accuracy?

L. Bruzzone, L. Carlin, L. Alparone, S. Baronti, A. Garzelli, F. Nencini

Proceedings Volume 6365, 636509 (2006) https://doi.org/10.1117/12.691208

KEYWORDS: Image fusion, Distortion, Image classification, Spatial resolution, Image resolution, Data fusion, Multispectral imaging, Near infrared, Genetic algorithms, Sensors

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Proceedings Article | 19 October 2005 Paper

Information-theoretic assessment of ASTER super-spectral imagery

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri, Massimo Selva

Proceedings Volume 5982, 59820X (2005) https://doi.org/10.1117/12.628102

KEYWORDS: Signal to noise ratio, Interference (communication), Modeling, Data modeling, Sensors, 3D image processing, Multidimensional signal processing, Radiometric resolution, Short wave infrared radiation, Radiometry

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Proceedings Article | 19 October 2005 Paper

Spatial resolution enhancement of ASTER thermal bands

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri, Massimo Selva

Proceedings Volume 5982, 59821G (2005) https://doi.org/10.1117/12.666545

KEYWORDS: Image fusion, Data fusion, Linear filtering, Spatial resolution, Distortion, Image enhancement, Data modeling, Resolution enhancement technologies, Image sensors, Sensors

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Proceedings Article | 12 October 2005 Paper

Fusion of microwave and optical images through intensity modulation by SAR textural features

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Filippo Nencini

Proceedings Volume 5980, 59800B (2005) https://doi.org/10.1117/12.628299

KEYWORDS: Image fusion, Synthetic aperture radar, Modulation, Data fusion, Earth observing sensors, Image enhancement, Wavelets, Reflectivity, Composites, Landsat

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Proceedings Article | 17 September 2005 Paper

Virtually lossless compression of scientific data: an application to astrophysical images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Filippo Nencini

Proceedings Volume 5915, 59150O (2005) https://doi.org/10.1117/12.616823

KEYWORDS: Image compression, JPEG2000, Computer programming, Quantization, Error analysis, Distortion, Data compression, Image quality standards, Data modeling, Statistical modeling

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Proceedings Article | 17 September 2005 Paper

Near-lossless compression of hyperspectral data through classified spectral prediction

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli, Cinzia Lastri, Leonardo Santurri

Proceedings Volume 5915, 59150M (2005) https://doi.org/10.1117/12.618643

KEYWORDS: Image compression, Hyperspectral imaging, Computer programming, Data compression, Prototyping, Spectroscopy, Satellites, Mining, Error analysis, Distortion

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Proceedings Article | 10 November 2004 Paper

Noise modeling and estimation in image sequences from thermal infrared cameras

Luciano Alparone, Giovanni Corsini, Marco Diani

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.567998

KEYWORDS: Statistical analysis, Signal to noise ratio, Interference (communication), Infrared cameras, Data modeling, Thermal modeling, Sensors, Cameras, Algorithm development, Image processing

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Proceedings Article | 10 November 2004 Paper

Spectral information extraction from very high resolution images through multiresolution fusion

Luciano Alparone, Bruno Aiazzi, Stefano Baronti, Andrea Garzelli, Filippo Nencini, Massimo Selva

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.606098

KEYWORDS: Image fusion, Distortion, Data modeling, Image resolution, Data fusion, Near infrared, Modulation transfer functions, Spectral resolution, Wavelets, Wavelet transforms

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Proceedings Article | 10 November 2004 Paper

Information-theoretic textural features of SAR images: an assessment for land cover classification

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Bianchini

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.568006

KEYWORDS: Synthetic aperture radar, Backscatter, Speckle, X band, Image classification, Information theory, Polarization, Statistical analysis, Gaussian filters, Visualization

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Proceedings Article | 22 October 2004 Paper

Quicklook coherence estimation from multilook SAR imagery

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Bianchini, Andrea Garzelli, Massimo Selva

Proceedings Volume 5574, (2004) https://doi.org/10.1117/12.567993

KEYWORDS: Synthetic aperture radar, Coherence (optics), Stanford Linear Collider, Speckle, Image analysis, Radar, Backscatter, Interferometry, Temporal coherence, Environmental monitoring

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Proceedings Article | 5 February 2004 Paper

Interband detail modeling for multiresolution fusion of very high resolution multispectral images

Luciano Alparone, Andrea Garzelli, Filippo Nencini, Bruno Aiazzi, Stefano Baronti

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.541193

KEYWORDS: Data modeling, Image fusion, Distortion, Image resolution, Data fusion, Spatial resolution, Wavelets, Multispectral imaging, Digital filtering, Electronic filtering

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Proceedings Article | 5 February 2004 Paper

Fuzzy predictor calculation for on-board lossless compression of hyperspectral imagery by adaptive DPCM

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.514033

KEYWORDS: Fuzzy logic, Computer programming, Image compression, Data compression, Hyperspectral imaging, Data modeling, Algorithm development, Remote sensing, Sensors, Modulation

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Proceedings Article | 5 February 2004 Paper

Dimensionality reduction of hyperspectral imagery based on spectral analysis of homogeneous segments: distortion measurements and classification scores

Luciano Alparone, Fabrizio Argenti, Michele Dionisio, Leonardo Santurri

Proceedings Volume 5238, (2004) https://doi.org/10.1117/12.514250

KEYWORDS: Image segmentation, Principal component analysis, Hyperspectral imaging, Independent component analysis, Image analysis, Distortion, Image classification, Image processing, Associative arrays, Statistical analysis

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Proceedings Article | 28 January 2004 Paper

Tradeoff between radiometric and spectral distortion in lossy compression of hyperspectral imagery

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Cinzia Lastri, Leonardo Santurri, Massimo Selva

Proceedings Volume 5208, (2004) https://doi.org/10.1117/12.508498

KEYWORDS: Distortion, Image compression, Computer programming, Error analysis, Quantization, Chromium, Signal to noise ratio, Hyperspectral imaging, Data compression, Remote sensing

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Proceedings Article | 28 January 2004 Paper

Advanced methods for onboard lossless compression of hyperspectral data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Bertoli, Cinzia Lastri, Franco Lotti, Enrico Magli, Gabriella Olmo, Barbara Penna

Proceedings Volume 5208, (2004) https://doi.org/10.1117/12.507328

KEYWORDS: Computer programming, Image compression, Data compression, Algorithm development, Data modeling, Sensors, Detection and tracking algorithms, Hyperspectral imaging, Performance modeling, 3D modeling

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Proceedings Article | 12 January 2004 Paper

Land cover classification of built-up areas through enhanced fuzzy nearest-mean reclustering of textural features from X- and C-band polarimetric SAR data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli

Proceedings Volume 5236, (2004) https://doi.org/10.1117/12.514258

KEYWORDS: Synthetic aperture radar, Backscatter, Polarization, Fuzzy logic, Polarimetry, Algorithm development, Wavelets, Image classification, Electronic filtering, Wavelet transforms

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Proceedings Article | 13 November 2003 Paper

Matching pursuit analysis of hyperspectral imagery

Luciano Alparone, Fabrizio Argenti, Michele Dionisio

Proceedings Volume 5207, (2003) https://doi.org/10.1117/12.506754

KEYWORDS: Hyperspectral imaging, Associative arrays, Image segmentation, Image processing, Reflectivity, Wavelets, Principal component analysis, Image analysis, Signal processing, Independent component analysis

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Proceedings Article | 13 November 2003 Paper

Interband structure modeling for oversampled multiresolution analysis-based Pan-sharpening of very high resolution multispectral images

Andrea Garzelli, Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Filippo Nencini

Proceedings Volume 5207, (2003) https://doi.org/10.1117/12.505473

KEYWORDS: Data modeling, Distortion, Image fusion, Image resolution, Data fusion, Wavelets, Image filtering, Spatial resolution, Electronic filtering, Boxcar filters

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Proceedings Article | 8 April 2003 Paper

Quality issues for hyperspectral data dissemination: radiometric and spectral distortions in lossy compression

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti, Leonardo Santurri, Massimo Selva

Proceedings Volume 4881, (2003) https://doi.org/10.1117/12.462911

KEYWORDS: Image compression, Computer programming, Quantization, Signal to noise ratio, Error analysis, Spectroscopy, Chromium, Mining, Visualization, Data compression

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Proceedings Article | 13 March 2003 Paper

Space-adaptive spectral analysis of hyperspectral imagery

Luciano Alparone, Fabrizio Argenti, Michele Dionisio, Luca Facheris

Proceedings Volume 4885, (2003) https://doi.org/10.1117/12.463090

KEYWORDS: Hyperspectral imaging, Principal component analysis, Image processing, Associative arrays, Wavelets, Signal processing, Image analysis, Independent component analysis, Chemical elements, Data analysis

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Proceedings Article | 13 March 2003 Paper

Context modeling for joint spectral and radiometric distortion minimization in pyramid-based fusion of MS and P image data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Ivan Pippi, Massimo Selva

Proceedings Volume 4885, (2003) https://doi.org/10.1117/12.463143

KEYWORDS: Distortion, Data modeling, Image fusion, Data fusion, Image resolution, Image sensors, Signal to noise ratio, Image filtering, Optical filters, Spectral models

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Proceedings Article | 7 March 2003 Paper

Fuzzy nearest-mean reclustering of SAR pixel features: assessments on land use classification

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Bianchini, Giovanni Macelloni, Simonetta Paloscia

Proceedings Volume 4883, (2003) https://doi.org/10.1117/12.463094

KEYWORDS: Synthetic aperture radar, Fuzzy logic, Polarization, Algorithm development, Backscatter, Agriculture, Image classification, Polarimetry, Image processing algorithms and systems, Image segmentation

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Proceedings Article | 30 January 2003 Paper

Lossy compression of multispectral remote sensing images through multiresolution data fusion techniques

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Selva

Proceedings Volume 4793, (2003) https://doi.org/10.1117/12.453539

KEYWORDS: Distortion, Image compression, Data fusion, Image fusion, Signal to noise ratio, Spectral resolution, Image resolution, Remote sensing, Spatial resolution, Linear filtering

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Proceedings Article | 30 January 2003 Paper

Near-lossless image compression by adaptive prediction: new developments and comparison of algorithms

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4793, (2003) https://doi.org/10.1117/12.453512

KEYWORDS: Image compression, Computer programming, Quantization, Associative arrays, Data modeling, Algorithm development, Distortion, Data compression, Raster graphics, Error analysis

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SPIE Journal Paper | 1 March 2002

Estimating noise and information for multispectral imagery

Bruno Aiazzi, Luciano Alparone, Alessandro Barducci, Stefano Baronti, Ivan Pippi

OE, Vol. 41, Issue 03, (March 2002) https://doi.org/10.1117/12.10.1117/1.1447547

KEYWORDS: Signal to noise ratio, Interference (communication), Multispectral imaging, Optical engineering, Landsat, Image compression, Data modeling, Statistical analysis, Image quality, Earth observing sensors

Proceedings Article | 28 January 2002 Paper

Near-lossless compression of multi/hyperspectral image data through a fuzzy-matching-pursuit interband prediction

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri

Proceedings Volume 4541, (2002) https://doi.org/10.1117/12.454159

KEYWORDS: Image compression, Fuzzy logic, Computer programming, Quantization, Distortion, 3D image processing, Error analysis, Infrared imaging, Infrared radiation, Data compression

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Proceedings Article | 28 January 2002 Paper

Blind estimation of interferometric SAR phase images through fuzzy matching-pursuits

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Massimo Bianchini

Proceedings Volume 4541, (2002) https://doi.org/10.1117/12.454180

KEYWORDS: Signal to noise ratio, Statistical analysis, Fuzzy logic, Interference (communication), Interferometric synthetic aperture radar, Digital filtering, Phase interferometry, Electronic filtering, Image filtering, Synthetic aperture radar

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Proceedings Article | 28 January 2002 Paper

New trends in despeckling: undecimated-wavelet shrinkage and fuzzy matching-pursuits estimation

Bruno Aiazzi, Luciano Alparone, Fabrizio Argenti, Stefano Baronti

Proceedings Volume 4543, (2002) https://doi.org/10.1117/12.453976

KEYWORDS: Wavelets, Statistical analysis, Speckle, Electronic filtering, Interference (communication), Image filtering, Signal to noise ratio, Synthetic aperture radar, Denoising, Signal processing

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This paper presents two novel approaches to speckle reduction in SAR images. The former relies on the multiplicative speckle model as an MMSE filtering performed in the wavelet domain by means of an adaptive shrinkage of the detail coefficients of an undecimated decomposition. Each coefficient is shrunk by the variance ratio of the noise-free coefficient to the noisy one. All the above quantities are analytically calculated from the speckled image, the noise variance, and the wavelet filters only, without resorting to any model to describe the underlying backscatter. Estimation of the local statistics driving the filter is expedited and layered processing allows to extend adaptivity also across the spatial scale. The latter is not model-based and provides a blind estimation of the backscatter underlying the speckled image stated as a problem of matching pursuits. The local adaptive MMSE estimator is obtained as an expansion in series of a finite number of prototype estimators, fitting the spatial features of the different statistical classes encountered, e.g., edges and textures. Such estimators are calculated in a fuzzy fashion through an automatic training procedure. The space-varying coefficients of the expansion are stated as degrees of fuzzy membership of a pixel to each of the estimators. A thorough performance comparison is carried out with the Gamma-MAP filter and with the Rational Laplacian Pyramid (RLP) filter, recently introduced by three of the authors. On simulated speckled images both the proposed filters gain almost 3 dB SNR with respect to conventional local-statistics (Lee/Kuan) filtering. Experiments carried out on widespread test SAR images and on a speckled mosaic image, comprising synthetic shapes, textures, and details from true SAR images, demonstrate that the visual quality of the results is excellent in terms of both background smoothing and preservation of edge sharpness, textures, and point targets. The absence of decimation in the wavelet decomposition avoids the typical ringing impairments produced by critically-sampled wavelet-based denoising.

Proceedings Article | 5 December 2001 Paper

Optimal rejection of multiplicative noise via adaptive shrinkage of undecimated wavelet coefficients

Luciano Alparone, Nicola Anghele, Fabrizio Argenti

Proceedings Volume 4478, (2001) https://doi.org/10.1117/12.449723

KEYWORDS: Wavelets, Electronic filtering, Interference (communication), Image filtering, Signal to noise ratio, Signal processing, Speckle, Denoising, Digital filtering, Discrete wavelet transforms

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Proceedings Article | 5 December 2001 Paper

Information-theoretic assessment of imaging systems via data compression

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4475, (2001) https://doi.org/10.1117/12.449595

KEYWORDS: Signal to noise ratio, Data modeling, Sensors, Landsat, Data compression, Visible radiation, Rutherfordium, Infrared imaging, Image processing, Earth observing sensors

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Proceedings Article | 5 December 2001 Paper

Relative error-constrained compression for synthetic aperture radar data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4475, (2001) https://doi.org/10.1117/12.449575

KEYWORDS: Quantization, Synthetic aperture radar, Image compression, Computer programming, Fuzzy logic, Speckle, Distortion, Associative arrays, Data modeling, Data compression

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Proceedings Article | 8 May 2001 Paper

Heterogeneity-driven hybrid denoising

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4304, (2001) https://doi.org/10.1117/12.424976

KEYWORDS: Image filtering, Electronic filtering, Digital filtering, Signal to noise ratio, Denoising, Interference (communication), Image processing, Statistical analysis, Error analysis, Synthetic aperture radar

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Proceedings Article | 19 January 2001 Paper

Quality issues in remote sensing image compression: near-lossless coding of optical and microwave data

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Leonardo Santurri

Proceedings Volume 4170, (2001) https://doi.org/10.1117/12.413916

KEYWORDS: Image compression, Computer programming, Quantization, Synthetic aperture radar, Error analysis, Remote sensing, Microwave radiation, Distortion, Image quality, Speckle

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SPIE Journal Paper | 1 January 2001

Multi-resolution estimation of fractal dimension from noisy images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli

JEI, Vol. 10, Issue 01, (January 2001) https://doi.org/10.1117/12.10.1117/1.1314621

KEYWORDS: Fractal analysis, Interference (communication), Synthetic aperture radar, Wavelets, Linear filtering, Image segmentation, Speckle, Image filtering, Image analysis, Wavelet transforms

Proceedings Article | 29 December 2000 Paper

Near-lossless compression by relaxation-labeled 3D prediction

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 4310, (2000) https://doi.org/10.1117/12.411848

KEYWORDS: Computer programming, Image compression, 3D image processing, Error analysis, Data modeling, Distortion, Landsat, Infrared radiation, Data compression, Earth observing sensors

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Proceedings Article | 21 December 2000 Paper

Hybrid despeckling filter driven by a novel homogeneity feature

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4173, (2000) https://doi.org/10.1117/12.410669

KEYWORDS: Image filtering, Synthetic aperture radar, Speckle, Linear filtering, Digital filtering, Interference (communication), Image processing, Signal to noise ratio, Laser range finders, Visualization

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Proceedings Article | 4 December 2000 Paper

Wavelet and multirate denoising for signal-dependent noise

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli

Proceedings Volume 4119, (2000) https://doi.org/10.1117/12.408674

KEYWORDS: Interference (communication), Signal to noise ratio, Wavelets, Image filtering, Electronic filtering, Denoising, Image processing, Signal processing, Digital filtering, Chromium

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Proceedings Article | 17 November 2000 Paper

Near-lossless image compression: a key to high-quality data distribution

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 4122, (2000) https://doi.org/10.1117/12.409256

KEYWORDS: Image compression, Computer programming, Quantization, Error analysis, Distortion, Medical imaging, Image enhancement, Statistical modeling, Analog electronics, X-rays

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Proceedings Article | 19 April 2000 Paper

Lossless image compression by adaptive contextual encoding

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3974, (2000) https://doi.org/10.1117/12.383001

KEYWORDS: Computer programming, Fuzzy logic, Image compression, Error analysis, Statistical analysis, Data modeling, Data compression, Prototyping, Raster graphics, Information technology

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Proceedings Article | 14 April 2000 Paper

Fuzzy blending of relaxation-labeled predictors for high-performance lossless image compression

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3962, (2000) https://doi.org/10.1117/12.382921

KEYWORDS: Fuzzy logic, Image compression, Computer programming, Error analysis, Prototyping, Statistical analysis, Data modeling, Data compression, Raster graphics, Systems modeling

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Proceedings Article | 3 March 2000 Paper

Performance comparison of adaptively weighted scalar and vector median filtering for postprocessing of optical flow fields

Luciano Alparone, Franco Bartolini, Massimo Bianchini, Roberto Caldelli

Proceedings Volume 3961, (2000) https://doi.org/10.1117/12.379404

KEYWORDS: Digital filtering, Optical flow, Optical filters, Motion estimation, Video, Error analysis, Electronic filtering, Nonlinear filtering, Cameras, Gold

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Proceedings Article | 16 December 1999 Paper

Trends in lossless image compression: adaptive vs. classified prediction and context modeling for entropy coding

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3814, (1999) https://doi.org/10.1117/12.372744

KEYWORDS: Fuzzy logic, Computer programming, Error analysis, Image compression, Prototyping, X-ray imaging, X-rays, Statistical modeling, Data modeling, Aluminum

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Proceedings Article | 14 December 1999 Paper

Wavelet and pyramid techniques for multisensor data fusion: a performance comparison varying with scale ratios

Bruno Aiazzi, Luciano Alparone, Fabrizio Argenti, Stefano Baronti

Proceedings Volume 3871, (1999) https://doi.org/10.1117/12.373263

KEYWORDS: Image fusion, Data fusion, Image filtering, Wavelets, Filtering (signal processing), Image resolution, Electronic filtering, Wavelet transforms, Digital filtering, Earth observing sensors

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Proceedings Article | 10 December 1999 Paper

Unsupervised assessment and pyramidal filtering of colored speckle

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3869, (1999) https://doi.org/10.1117/12.373155

KEYWORDS: Speckle, Signal to noise ratio, Interference (communication), Image filtering, Synthetic aperture radar, Statistical analysis, Digital filtering, Electronic filtering, Optical filters, Spatial resolution

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Proceedings Article | 26 October 1999 Paper

Multiresolution estimation of fractal dimension from images affected by signal-dependent noise

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Andrea Garzelli

Proceedings Volume 3813, (1999) https://doi.org/10.1117/12.366785

KEYWORDS: Fractal analysis, Interference (communication), Synthetic aperture radar, Wavelets, Speckle, Wavelet transforms, Image segmentation, Raster graphics, Data modeling, Image analysis

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Proceedings Article | 18 October 1999 Paper

Lossless compression of multispectral images based on a bidirectional spectral prediction

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3808, (1999) https://doi.org/10.1117/12.365844

KEYWORDS: Image compression, Multispectral imaging, Landsat, Fuzzy logic, Infrared radiation, Prototyping, 3D image processing, Infrared imaging, Information operations, Earth observing sensors

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Proceedings Article | 5 March 1999 Paper

Signal-dependent noise modeling for adaptive multiresolution local-statistics filtering

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3646, (1999) https://doi.org/10.1117/12.341087

KEYWORDS: Interference (communication), Signal to noise ratio, Image filtering, Digital filtering, Electronic filtering, Speckle, Image processing, Signal processing, Linear filtering, Systems modeling

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Proceedings Article | 28 December 1998 Paper

Virtually lossless compression of medical images through classified prediction and context-based arithmetic coding

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 3653, (1998) https://doi.org/10.1117/12.334609

KEYWORDS: Image compression, X-ray imaging, X-rays, Medical imaging, Diagnostics, Error analysis, Fuzzy logic, Chest, Computer programming, Analog electronics

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Proceedings Article | 4 December 1998 Paper

Assessment of pyramid-based multisensor image data fusion

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carla

Proceedings Volume 3500, (1998) https://doi.org/10.1117/12.331868

KEYWORDS: Image fusion, Data fusion, Image resolution, Linear filtering, Wavelets, Digital filtering, Visualization, Sensors, Image analysis, Spatial resolution

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Proceedings Article | 4 December 1998 Paper

Texture analysis and despeckle of multitemporal SAR images

Luciano Alparone, Stefano Baronti, Roberto Carla

Proceedings Volume 3500, (1998) https://doi.org/10.1117/12.331857

KEYWORDS: Speckle, Synthetic aperture radar, Image filtering, Signal to noise ratio, Interference (communication), Digital filtering, Data modeling, Statistical analysis, Chromium, Polarimetry

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Proceedings Article | 20 November 1998 Paper

Multiresolution texture analysis of SAR images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti

Proceedings Volume 3497, (1998) https://doi.org/10.1117/12.331341

KEYWORDS: Fractal analysis, Synthetic aperture radar, Wavelets, Image analysis, Interference (communication), Image segmentation, Speckle, Linear filtering, Wavelet transforms, Digital filtering

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Proceedings Article | 6 November 1998 Paper

Reversible compression of 2D and 3D data through a fuzzy linear prediction with context-based arithmetic coding

Bruno Aiazzi, Pasquale Alba, Luciano Alparone, Stefano Baronti

Proceedings Volume 3456, (1998) https://doi.org/10.1117/12.330363

KEYWORDS: Image compression, Fuzzy logic, Prototyping, 3D image processing, Bromine, Sensors, Tomography, Error analysis, X-ray imaging, X-rays

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Proceedings Article | 13 October 1998 Paper

Fuzzy clustering and soft switching of linear regression models for reversible image compression

Bruno Aiazzi, Pasquale Alba, Luciano Alparone, Stefano Baronti

Proceedings Volume 3455, (1998) https://doi.org/10.1117/12.326716

KEYWORDS: Fuzzy logic, Prototyping, Image compression, Bromine, Switching, Error analysis, 3D image processing, Sensors, Systems modeling, Computing systems

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Proceedings Article | 30 October 1997 Paper

Pyramid-based multisensor image data fusion

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carla, Leonardo Mortelli

Proceedings Volume 3169, (1997) https://doi.org/10.1117/12.292793

KEYWORDS: Image fusion, Data fusion, Image resolution, Image filtering, Discrete wavelet transforms, Image enhancement, Landsat, Spatial resolution, Earth observing sensors

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Proceedings Article | 30 October 1997 Paper

Lossless image compression based on recursive nonlinear interpolation

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 3164, (1997) https://doi.org/10.1117/12.292767

KEYWORDS: Image compression, Digital filtering, Nonlinear filtering, Computer programming, Medical imaging

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Proceedings Article | 14 October 1997 Paper

Multifiltering approach to adaptive speckle reduction in textured SAR images

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carla, S. Lolli

Proceedings Volume 3167, (1997) https://doi.org/10.1117/12.290277

KEYWORDS: Synthetic aperture radar, Speckle, Image filtering, Linear filtering, Digital filtering, Image processing, Visualization

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Proceedings Article | 31 December 1996 Paper

Pyramid approach to fusion of Landsat TM and SPOT-PAN data to yield multispectral high-resolution images for environmental archaeology

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, Roberto Carla

Proceedings Volume 2960, (1996) https://doi.org/10.1117/12.262459

KEYWORDS: Image fusion, Data fusion, Image resolution, Landsat, Spatial resolution, Image filtering, Sensors, Laminated object manufacturing, Linear filtering, Earth observing sensors

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Proceedings Article | 17 December 1996 Paper

Adaptive rank-conditioned median filter for edge-preserving image smoothing

Luciano Alparone, Stefano Baronti, Roberto Carla

Proceedings Volume 2955, (1996) https://doi.org/10.1117/12.262893

KEYWORDS: Digital filtering, Image filtering, Signal to noise ratio, Interference (communication), Speckle, Distortion, Electronic filtering, Synthetic aperture radar, Smoothing, Gaussian filters

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Proceedings Article | 23 October 1996 Paper

Lossless compression of medical images based on an enhanced generalized multidimensional S-Transform

Bruno Aiazzi, Pasquale Alba, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 2825, (1996) https://doi.org/10.1117/12.255291

KEYWORDS: Image compression, Medical imaging, 3D modeling, Data modeling, Tomography, Modeling, 3D image processing, Image enhancement, Wavelets, Image sensors

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Proceedings Article | 23 October 1996 Paper

Multiscale geometric filter based on the wavelet transform

Luciano Alparone, Fabrizio Argenti, Andrea Garzelli

Proceedings Volume 2825, (1996) https://doi.org/10.1117/12.255298

KEYWORDS: Image filtering, Signal to noise ratio, Digital filtering, Wavelets, Image processing, Wavelet transforms, Nonlinear filtering, Electronic filtering, Speckle, Interference (communication)

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Proceedings Article | 23 October 1996 Paper

Multiresolution adaptive noise filtering based on Laplacian pyramids

Bruno Aiazzi, Luciano Alparone, Stefano Baronti, G. Borri, Carlo Susini

Proceedings Volume 2825, (1996) https://doi.org/10.1117/12.255274

KEYWORDS: Image filtering, Digital filtering, Signal to noise ratio, Image resolution, Interference (communication), Synthetic aperture radar, Smoothing, Speckle, Spatial resolution, Wavelets

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Proceedings Article | 16 September 1996 Paper

Reversible interframe compression of high-quality color images of paintings

Andrea Abrardo, Luciano Alparone, Franco Bartolini, P. Guarnieri

Proceedings Volume 2952, (1996) https://doi.org/10.1117/12.251284

KEYWORDS: Image compression, Scanners, RGB color model, Multispectral imaging, Multimedia, Image sensors, Sensors, Digital imaging, Visible radiation, Berkelium

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Proceedings Article | 16 September 1996 Paper

Lossless image compression based on a generalized recursive interpolation

Bruno Aiazzi, Pasquale Alba, Luciano Alparone, Stefano Baronti, Franco Lotti

Proceedings Volume 2952, (1996) https://doi.org/10.1117/12.251293

KEYWORDS: Image compression, Data modeling, Image retrieval, Error analysis, Image transmission, Statistical modeling, Medical imaging, Image processing, Reconstruction algorithms, Spatial resolution

Read Abstract +

A variety of image compression algorithms exists for applications where reconstruction errors are tolerated. When lossless coding is mandatory, compression ratios greater than 2 or 3 are hard to obtain. DPCM techniques can be implemented in a hierarchical way, thus producing high- quality intermediate versions (tokens) of the input images at increasing spatial resolutions. Data retrieval and transmission can be achieved in a progressive fashion, either by stopping the process at the requested resolution level, or by recognizing that the image being retrieved is no longer of interest. However, progressiveness is usually realized with a certain performance penalty with respect to the reference DPCM (i.e., 4-pel optimum causal AR prediction). A generalized recursive interpolation (GRINT) algorithm is proposed and shown to be the most effective progressive technique for compression of still images. The main advantage of the novel scheme with respect to the standard hierarchical interpolation (HINT) is that interpolation is performed in a separable fashion from all error-free values, thereby reducing the variance of interpolation errors. Moreover, the introduction of a parametric half-band interpolation filter produces further benefits and allows generalized interpolation. An adaptive strategy consists of measuring image correlation both along rows and along columns and interpolating first along the direction of minimum correlation. The statistics of the different subband-like sets of interpolation errors are modeled as generalized Gaussian PDFs, and individual codebooks are fitted for variable length coding. The estimate of the shape factor of the PDF is based on a novel criterion matching the entropy of the theoretical and actual distributions. Performances are evaluated by comparing GRINT with HINT, and a variety of other multiresolution techniques. Optimum 4-pel causal DPCM and lossless JPEG are also considered for completeness of comparisons, although they are not progressive. For the examined images GRINT is always superior. Only optimum DPCM provides comparable results; GRINT is, however, progressive and yields error- free tokens at any resolution level.

SPIE Journal Paper | 1 November 1995

Rounded reduced-difference pyramid for semilossy image coding

Luciano Alparone, Paolo Capperi, Bruno Aiazzi, Stefano Baronti, Giuliano Benelli

OE, Vol. 34, Issue 11, (November 1995) https://doi.org/10.1117/12.10.1117/12.212976

KEYWORDS: Quantization, Image compression, Error analysis, Image transmission, Visualization, Reconstruction algorithms, Computing systems, Distortion, Algorithm development, Algorithms

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Proceedings Article | 17 February 1995 Paper

Minimum distortion quantizer for fixed-rate 64-subband video coding

Luciano Alparone, Alessandro Andreadis, Fabrizio Argenti, Giuliano Benelli, Andrea Garzelli, A. Tarchi

Proceedings Volume 2451, (1995) https://doi.org/10.1117/12.201195

KEYWORDS: Distortion, Quantization, Video coding, Video, Image filtering, Reconstruction algorithms, Data communications, Modeling, Error analysis, Asynchronous transfer mode

Read Abstract +

Proceedings Article | 1 September 1990 Paper

Compression and channel-coding algorithms for high-definition television signals

Luciano Alparone, Giuliano Benelli, A. Fabbri

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24264

KEYWORDS: Image compression, Signal to noise ratio, Forward error correction, Quantization, Image processing, Visual communications, Distortion, Receivers, Televisions, Interference (communication)

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Proceedings Article | 1 September 1990 Paper

Parallel architectures for the postprocessing of SAR images

Luciano Alparone, Federico Boragine, Stefano Fini, Filippo de Stefani

Proceedings Volume 1360, (1990) https://doi.org/10.1117/12.24267

KEYWORDS: Image processing, Image filtering, Synthetic aperture radar, Visual communications, Hough transforms, Network architectures, Detection and tracking algorithms, Edge detection, Computer architecture, Sensors

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Showing 5 of 101 publications

Conference Committee Involvement (19)

Image and Signal Processing for Remote Sensing XXIX

4 September 2023 | Amsterdam, Netherlands

Image and Signal Processing for Remote Sensing XXVIII

5 September 2022 | Berlin, Germany

Image and Signal Processing for Remote Sensing XXVII

13 September 2021 | Online Only, Spain

Image and Signal Processing for Remote Sensing XXVI

21 September 2020 | Online Only, United Kingdom

Image and Signal Processing for Remote Sensing XXV

9 September 2019 | Strasbourg, France

Image and Signal Processing for Remote Sensing

10 September 2018 | Berlin, Germany

Image and Signal Processing for Remote Sensing

11 September 2017 | Warsaw, Poland

Image and Signal Processing for Remote Sensing

26 September 2016 | Edinburgh, United Kingdom

Image and Signal Processing for Remote Sensing

21 September 2015 | Toulouse, France

Image and Signal Processing for Remote Sensing

22 September 2014 | Amsterdam, Netherlands

Image and Signal Processing for Remote Sensing XIX

23 September 2013 | Dresden, Germany

Image and Signal Processing for Remote Sensing

24 September 2012 | Edinburgh, United Kingdom

Image and Signal Processing for Remote Sensing

19 September 2011 | Prague, Czech Republic

Image and Signal Processing for Remote Sensing

20 September 2010 | Toulouse, France

Image and Signal Processing for Remote Sensing

31 August 2009 | Berlin, Germany

Image and Signal Processing for Remote Sensing

15 September 2008 | Cardiff, Wales, United Kingdom

Image and Signal Processing for Remote Sensing

18 September 2007 | Florence, Italy

Image and Signal Processing for Remote Sensing XII

13 September 2006 | Stockholm, Sweden

Image and Signal Processing for Remote Sensing XI

20 September 2005 | Bruges, Belgium

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