Prof. Jon Y. Hardeberg Profile

Prof. Jon Y. Hardeberg

Professor at Norwegian Univ of Science and Technology

SPIE Involvement:

Author

Publications (53)

Proceedings Article | 20 September 2023 Paper

Development of measurement system for subsurface scattering light of skin and analysis of its age-related changes

K. Kikuchi, M. Katsuyama, T. Shibata, J. Hardeberg, T. Yuasa, Y. Aizu

Proceedings Volume 12608, 1260813 (2023) https://doi.org/10.1117/12.3007926

KEYWORDS: Reflection, Skin, Light scattering, Projection systems, Polarization, Optical properties, Cameras, Light sources and illumination, Tunable filters, Optical filters

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Proceedings Article | 8 July 2021 Presentation + Paper

A multispectral design for a new generation of film scanners

Giorgio Trumpy, Jon Y. Hardeberg, Sony George, Barbara Flueckiger

Proceedings Volume 11784, 117840Z (2021) https://doi.org/10.1117/12.2592655

KEYWORDS: Scanners, Optical design, Light emitting diodes, Imaging systems, Analog electronics, Visualization, RGB color model, Multispectral imaging, Cameras, Visible radiation

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Proceedings Article | 22 June 2021 Poster + Presentation + Paper

Hyperspectral imaging workflow for the acquisition and analysis of stained-glass panels

Agnese Babini, Sony George, Jon Yngve Hardeberg

Proceedings Volume 11784, 117841F (2021) https://doi.org/10.1117/12.2593735

KEYWORDS: Hyperspectral imaging, Glasses, Cameras, Transmittance, RGB color model, Visualization, Diffusers, Chromophores, Light sources, Lead

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Proceedings Article | 20 June 2021 Presentation + Paper

Fluorescence transformation imaging

Irina-Mihaela Ciortan, Andrea Giachetti, Sony George, Jon Yngve Hardeberg

Proceedings Volume 11784, 1178416 (2021) https://doi.org/10.1117/12.2593651

KEYWORDS: Luminescence, Reflectivity, RGB color model, Ultraviolet radiation, Multispectral imaging, Light emitting diodes, Imaging systems, Fluorescent materials, Computer graphics, Cameras

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Fluorescence is a photoluminescence phenomenon where light is absorbed at lower wavelengths and re-emitted at longer wavelengths. For classic artworks, fluorescence gives useful information about varnish and retouches. At the same time, modern artworks may employ synthetic fluorescent pigments because of their special appearance properties, such as increased brightness and vividness provoked by self-luminescence. Hence, it is relevant to investigate the fluorescent signals of cultural heritage objects when studying their appearance. This work proposes a variant to Reflectance Transformation Imaging (RTI) technique, namely Fluorescence Transformation Imaging. Reflectance Transformation Imaging method outputs a single-camera multi-light image collection of a static scene, which can be used to model the reflectance of the scene as a polynomial of the illumination directions. Similarly, Fluorescence Transformation Imaging aims to model the fluorescent signal based on a series of images with fixed scene and viewpoint and varying incident light directions - what changes with respect to RTI is that the wavelength of incident light needs to be shorter than the sensing wavelength. In the literature, there are works that explore the isotropic property of fluorescence in low-dimension multi-light imagery methods (such as Photometric Stereo) to model the appearance of an object with a first-order polynomial. This is because in the fluorescent mode the object gets closer to a Lambertian surface than in the reflective mode where non-Lambertian effects such as highlights are more likely to appear. Nonetheless, this assumption stands for single-object scenes, with uniform albedo and convex geometries. When there are multiple fluorescent objects in the scene, with concavities and non-uniform fluorescent component, then the fluorescence can become secondary light to the object and create interreflections. This paper explores the Reflectance and Fluorescence Transformation Imaging methods and the resulting texture maps for appearance rendering of heterogeneous non-flat fluorescent objects.

Proceedings Article | 24 April 2020 Presentation

Color imaging sensors with perovskite alloys (Conference Presentation)

Mohammad Ismail Hossain, Wayesh Qarony, Haris Ahmad Khan, Masayuki Kozawa, Alberto Salleo, Jon Yngve Hardeberg, Hiroyuki Fujiwara, Yuen Hong Tsang, Dietmar Knipp

Proceedings Volume 11378, 113780W (2020) https://doi.org/10.1117/12.2572385

KEYWORDS: Sensors, Perovskite, Optical filters, Color imaging, Image sensors, Quantum efficiency, Digital cameras, Channel projecting optics, Diodes, Modeling

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Proceedings Article | 16 July 2019 Paper

Application of spectral statistics to surface defect detection

Hilda Deborah, Noël Richard, Jon Yngve Hardeberg

Proceedings Volume 11172, 1117211 (2019) https://doi.org/10.1117/12.2521714

KEYWORDS: Metrology, Statistical analysis, Hyperspectral imaging, Visualization, Defect detection, Printing, Mahalanobis distance, Image processing

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SPIE Journal Paper | 21 May 2018

Preferred image quality metric for shifted superimposition-based resolution-enhanced images

Svein Arne Jervell Hansen, Muhammad Nadeem Akram, Jon Yngve Hardeberg, Marius Pedersen

JEI, Vol. 27, Issue 03, 033017, (May 2018) https://doi.org/10.1117/12.10.1117/1.JEI.27.3.033017

KEYWORDS: Image quality, Image resolution, Spatial light modulators, Visualization, Projection systems, Image enhancement, Image analysis, Signal to noise ratio, Distortion, Resolution enhancement technologies

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Proceedings Article | 19 February 2018 Presentation + Paper

Towards real-time non contact spatial resolved oxygenation monitoring using a multi spectral filter array camera in various light conditions

Jacob Bauer, Karlijn van Beekum, John Klaessens, Herke Jan Noordmans, Christa Boer, Jon Y. Hardeberg, Rudolf Verdaasdonk

Proceedings Volume 10489, 104890O (2018) https://doi.org/10.1117/12.2288432

KEYWORDS: Cameras, Near infrared spectroscopy, Skin, Optical filters, Tissue optics, Oxygen, Imaging systems, Chromophores, Light sources, Tissues

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Proceedings Article | 15 February 2017 Presentation + Paper

Optical skin assessment based on spectral reflectance estimation and Monte Carlo simulation

Jacob Bauer, Jon Hardeberg, Rudolf Verdaasdonk

Proceedings Volume 10057, 1005703 (2017) https://doi.org/10.1117/12.2252097

KEYWORDS: Light emitting diodes, Blood, Sensors, Skin, Tissue optics, Chromophores, Monte Carlo methods, Image processing, Reflectivity, Optical testing, Optical components, Biomedical optics, Imaging spectroscopy

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Proceedings Article | 27 February 2015 Paper

Multispectral imaging: an application to density measurement of photographic paper in the manufacturing process control

Raju Shrestha, Jon Yngve Hardeberg

Proceedings Volume 9405, 94050G (2015) https://doi.org/10.1117/12.2083280

KEYWORDS: Photography, Manufacturing, Densitometry, Multispectral imaging, Process control, Reflectivity, Light emitting diodes, Imaging systems, Optical filters, Printing

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Proceedings Article | 8 February 2015 Paper

A database for spectral image quality

Steven Le Moan, Sony George, Marius Pedersen, Jana Blahová, Jon Yngve Hardeberg

Proceedings Volume 9396, 93960P (2015) https://doi.org/10.1117/12.2080760

KEYWORDS: Image quality, Databases, Cameras, Visualization, Skin, Image compression, Image analysis, Light sources, Calibration, Hyperspectral systems

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Proceedings Article | 8 February 2015 Paper

Effect of ink spreading and ink amount on the accuracy of the Yule-Nielsen modified spectral Neugebauer model

Radovan Slavuj, Ludovic Coppel, Jon Yngve Hardeberg

Proceedings Volume 9395, 93950E (2015) https://doi.org/10.1117/12.2083366

KEYWORDS: Reflectivity, Printing, Performance modeling, Spectral models, Nonimpact printing, Color difference, Visualization, Visual process modeling, Optimization (mathematics), Calibration

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Proceedings Article | 24 February 2014 Paper

Estimating neugebauer primaries for multi-channel spectral printing modeling

Radovan Slavuj, Ludovic Coppel, Melissa Olen, Jon Yngve Hardeberg

Proceedings Volume 9018, 90180C (2014) https://doi.org/10.1117/12.2044041

KEYWORDS: Printing, Neptunium, Reflectivity, CMYK color model, Error analysis, Calibration, Scattering, Reflection, Systems modeling, RGB color model

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Proceedings Article | 4 February 2013 Paper

Median filtering in multispectral filter array demosaicking

Xingbo Wang, Jean-Baptiste Thomas, Jon Hardeberg, Pierre Gouton

Proceedings Volume 8660, 86600E (2013) https://doi.org/10.1117/12.2005256

KEYWORDS: Digital filtering, Multispectral imaging, Image restoration, Image transmission, Image visualization, Image quality, Spherical lenses, Image processing, Algorithm development, Hyperspectral imaging

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SPIE Journal Paper | 22 June 2012

Development of an adaptive bilateral filter for evaluating color image difference

Zhaohui Wang, Jon Yngve Hardeberg

JEI, Vol. 21, Issue 2, 023021, (June 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.2.023021

KEYWORDS: Digital filtering, Image filtering, Optical filters, Visualization, Colorimetry, Gaussian filters, Performance modeling, Visual process modeling, Color difference, Image processing

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Proceedings Article | 15 February 2012 Paper

Computational color constancy using chromagenic filters in color filter arrays

Raju Shrestha, Jon Yngve Hardeberg

Proceedings Volume 8298, 82980S (2012) https://doi.org/10.1117/12.912073

KEYWORDS: Optical filters, Image filtering, Cameras, RGB color model, Error analysis, Chromium, Image registration, Transmittance, Sensors, Digital filtering

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Proceedings Article | 15 February 2012 Paper

Characterizing the response of charge-couple device digital color cameras

Viktor Slavkovikj, Jon Yngve Hardeberg, Alexander Eichhorn

Proceedings Volume 8298, 82980G (2012) https://doi.org/10.1117/12.909298

KEYWORDS: Cameras, Sensors, Optical sensors, Monochromators, Imaging systems, Optical filters, CCD cameras, CCD image sensors, Image filtering, Charge-coupled devices

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Proceedings Article | 10 February 2012 Paper

Subjective evaluations of example-based, total variation, and joint regularization for image processing

Hyrum Anderson, Maya Gupta, Jon Hardeberg

Proceedings Volume 8296, 82960S (2012) https://doi.org/10.1117/12.917710

KEYWORDS: Image quality, Image processing, Super resolution, RGB color model, Image analysis, Visualization, Image compression, Error analysis, Denoising, Image restoration

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Proceedings Article | 17 February 2011 Paper

Spatial arrangement of color filter array for multispectral image acquisition

Raju Shrestha, Jon Hardeberg, Rahat Khan

Proceedings Volume 7875, 787503 (2011) https://doi.org/10.1117/12.872253

KEYWORDS: Optical filters, Multispectral imaging, Image acquisition, Image filtering, Computer simulations, Image quality, Reflectivity, Imaging arrays, Tunable filters, Cameras

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Proceedings Article | 7 February 2011 Paper

Extraction and fusion of spectral parameters for face recognition

B. Boisier, B. Billiot, Z. Abdessalem, P. Gouton, J. Hardeberg

Proceedings Volume 7877, 78770V (2011) https://doi.org/10.1117/12.876642

KEYWORDS: Feature extraction, Facial recognition systems, Visible radiation, Sensors, Thermography, Infrared radiation, Detection and tracking algorithms, Infrared imaging, Near infrared, Long wavelength infrared

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Proceedings Article | 25 January 2011 Paper

Kubelka-Munk theory for efficient spectral printer modeling

Mekides Abebe, Jérémie Gerhardt, Jon Hardeberg

Proceedings Volume 7866, 786614 (2011) https://doi.org/10.1117/12.872830

KEYWORDS: Printing, CMYK color model, Spectral models, Inkjet technology, Nonimpact printing, Reflectivity, Performance modeling, Opacity, Color difference, RGB color model

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Proceedings Article | 25 January 2011 Paper

Evaluating the smoothness of color transformations

Anna Aristova, Zhaohui Wang, Jon Hardeberg

Proceedings Volume 7866, 78660M (2011) https://doi.org/10.1117/12.872526

KEYWORDS: RGB color model, Visualization, 3D metrology, Printing, Color difference, Transform theory, Profiling, Image quality, Statistical modeling, Algorithm development

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Proceedings Article | 25 January 2011 Paper

Regression based characterization of color measurement instruments in printing applications

Peter Nussbaum, Jon Hardeberg, Fritz Albregtsen

Proceedings Volume 7866, 78661R (2011) https://doi.org/10.1117/12.872381

KEYWORDS: Instrument modeling, Data modeling, Color difference, Tolerancing, Statistical modeling, Printing, Standards development, CMYK color model, Performance modeling, Manufacturing

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In the context of print quality and process control colorimetric parameters and tolerance values are clearly defined. Calibration procedures are well defined for color measurement instruments in printing workflows. Still, using more than one color measurement instrument measuring the same color wedge can produce clearly different results due to random and systematic errors of the instruments. In certain situations where one instrument gives values which are just inside the given tolerances and another measurement instrument produces values which exceed the predefined tolerance parameters, the question arises whether the print or proof is approved or not accepted with regards to the standard parameters. The aim of this paper was to determine an appropriate model to characterize color measurement instruments for printing applications in order to improve the colorimetric performance and hence the inter-instrument agreement. The method proposed is derived from color image acquisition device characterization methods which have been applied by performing polynomial regression with a least square technique. Six commercial color measurement instruments were used for measuring color patches of a control color wedge on three different types of paper substrates. The characterization functions were derived using least square polynomial regression, based on the training set of 14 BCRA tiles colorimetric reference values and the corresponding colorimetric measurements obtained by the measurement instruments. The derived functions were then used to correct the colorimetric values of test sets of 46 measurements of the color control wedge patches. The corrected measurement results obtained from the applied regression model was then used as the starting point with which the corrected measurements from other instruments were compared to find the most appropriate polynomial, which results in the least color difference. The obtained results demonstrate that the proposed regression method works remarkably well with a range of different color measurement instruments used on three types of substrates. Finally, by extending the training set from 14 samples to 38 samples the obtained results clearly indicate that the model is robust.

Proceedings Article | 24 January 2011 Paper

One-shot multispectral color imaging with a stereo camera

Raju Shrestha, Jon Yngve Hardeberg, Alamin Mansouri

Proceedings Volume 7876, 787609 (2011) https://doi.org/10.1117/12.872428

KEYWORDS: Optical filters, Cameras, Multispectral imaging, Imaging systems, Stereoscopic cameras, Error analysis, Image filtering, Transmittance, Device simulation, Reflectivity

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Proceedings Article | 24 January 2011 Paper

Image quality metrics for the evaluation of print quality

Marius Pedersen, Nicolas Bonnier, Jon Hardeberg, Fritz Albregtsen

Proceedings Volume 7867, 786702 (2011) https://doi.org/10.1117/12.876472

KEYWORDS: Image quality, Image processing, Image registration, Printing, Image compression, Digital image processing, Skin, Color printing, Image filtering, Scanners

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SPIE Journal Paper | 1 January 2010

Attributes of image quality for color prints

Marius Pedersen, Nicolas Bonnier, Jon Hardeberg, Fritz Albregtsen

JEI, Vol. 19, Issue 01, 011016, (January 2010) https://doi.org/10.1117/12.10.1117/1.3277145

KEYWORDS: Image quality, Printing, Visualization, Process modeling, Systems modeling, Sun, Color difference, Skin, CMYK color model, Computer science

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Proceedings Article | 10 February 2009 Paper

Measuring perceptual contrast in a multi-level framework

Gabriele Simone, Marius Pedersen, Jon Yngve Hardeberg, Alessandro Rizzi

Proceedings Volume 7240, 72400Q (2009) https://doi.org/10.1117/12.805477

KEYWORDS: RGB color model, Colorimetry, Visualization, Electronic imaging, Visual system, Curium, Human vision and color perception, Current controlled current source, Electroluminescence, Image compression

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Proceedings Article | 19 January 2009 Paper

Compensating for non-uniform screens in projection display systems

Siavash Asgari Renani, Masato Tsukada, Jon Yngve Hardeberg

Proceedings Volume 7241, 72410F (2009) https://doi.org/10.1117/12.810493

KEYWORDS: Cameras, Projection systems, Color difference, Error analysis, Digital cameras, Displays, Spectrophotometry, RGB color model, Digital imaging, Transform theory

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Proceedings Article | 19 January 2009 Paper

Predicting the performance of a spatial gamut mapping algorithm

Arne Bakke, Ivar Farup, Jon Hardeberg

Proceedings Volume 7241, 724116 (2009) https://doi.org/10.1117/12.805852

KEYWORDS: Image processing, Image filtering, Visualization, Algorithm development, Computer graphics, Associative arrays, Stars, Linear filtering, Image analysis, Image compression

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Proceedings Article | 19 January 2009 Paper

Simulation of film media in motion picture production using a digital still camera

Arne Bakke, Jon Hardeberg, Steffen Paul

Proceedings Volume 7242, 724211 (2009) https://doi.org/10.1117/12.816405

KEYWORDS: RGB color model, Cameras, Digital cameras, Scanners, Instrument modeling, Digital imaging, Device simulation, Visualization, Reverse modeling, Analog electronics

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Proceedings Article | 19 January 2009 Paper

Detection of worms in error diffusion halftoning

Marius Pedersen, Fritz Albregtsen, Jon Yngve Hardeberg

Proceedings Volume 7242, 72420L (2009) https://doi.org/10.1117/12.805555

KEYWORDS: Image quality, Diffusion, Image filtering, Fluctuations and noise, Optical filters, Halftones, Printing, Gaussian filters, Image processing, Digital image processing

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Proceedings Article | 26 February 2008 Paper

Real-time people counting system using a single video camera

Damien Lefloch, Faouzi Cheikh, Jon Hardeberg, Pierre Gouton, Romain Picot-Clemente

Proceedings Volume 6811, 681109 (2008) https://doi.org/10.1117/12.766499

KEYWORDS: RGB color model, Video, Motion models, Cameras, Binary data, Image segmentation, Filtering (signal processing), Video surveillance, Detection and tracking algorithms, Imaging systems

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Proceedings Article | 14 February 2008 Paper

Comparison of eye tracking devices used on printed images

Barbora Komínková, Marius Pedersen, Jon Hardeberg, Marie Kaplanová

Proceedings Volume 6806, 68061I (2008) https://doi.org/10.1117/12.766231

KEYWORDS: Eye, Video, Calibration, Head, Cameras, Image processing, Statistical analysis, Detection and tracking algorithms, Mathematical modeling, Video processing

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Proceedings Article | 14 February 2008 Paper

Using gaze information to improve image difference metrics

Marius Pedersen, Jon Hardeberg, Peter Nussbaum

Proceedings Volume 6806, 680611 (2008) https://doi.org/10.1117/12.764468

KEYWORDS: Eye, Image quality, Visualization, Detection and tracking algorithms, Color difference, RGB color model, Quality measurement, Computer simulations, Automatic tracking, Visibility

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Proceedings Article | 28 January 2008 Paper

An inverse display color characterization model based on an optimized geometrical structure

Jean-Baptiste Thomas, Philippe Colantoni, Jon Hardeberg, Irène Foucherot, Pierre Gouton

Proceedings Volume 6807, 68070A (2008) https://doi.org/10.1117/12.766487

KEYWORDS: RGB color model, 3D modeling, LCDs, Instrument modeling, Optimization (mathematics), Data modeling, Digital Light Processing, CRTs, Projection devices, Projection systems

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Proceedings Article | 29 January 2007 Paper

Effect of time spacing on the perceived color

Sylvain Roch, Jon Hardeberg, Peter Nussbaum

Proceedings Volume 6493, 649303 (2007) https://doi.org/10.1117/12.700557

KEYWORDS: Skin, Visualization, RGB color model, LCDs, Colorimetry, Calibration, Color vision, Color difference, Printing, Inkjet technology

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Proceedings Article | 29 January 2007 Paper

Controlling the error in spectral vector error diffusion

Jérémie Gerhardt, Jon Hardeberg

Proceedings Volume 6493, 649316 (2007) https://doi.org/10.1117/12.703816

KEYWORDS: Diffusion, Reflectivity, Printing, Image processing, CMYK color model, Binary data, Spectral models, Error control coding, Image quality, Visible radiation

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Proceedings Article | 9 February 2006 Paper

Robustness of texture parameters for color texture analysis

Ambroise Marin, David Connah, Audrey Roman, Jon Hardeberg, Pierre Gouton

Proceedings Volume 6070, 607006 (2006) https://doi.org/10.1117/12.643021

KEYWORDS: Quantization, Principal component analysis, Binary data, Databases, RGB color model, Matrices, Analytical research, Image classification, Image processing, Pattern recognition

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Proceedings Article | 18 March 2005 Paper

Can gamut mapping quality be predicted by colour image difference formulae?

Eriko Bando, Jon Hardeberg, David Connah

Proceedings Volume 5666, (2005) https://doi.org/10.1117/12.587641

KEYWORDS: Image quality, Cameras, CRTs, Image processing, Eye, Digital image processing, Eye models, Visual process modeling, Colorimetry, Printing

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SPIE Journal Paper | 1 February 2005

Optical calibration of a multispectral imaging system based on interference filters

Al Amin Mansouri, Franck Marzani, Jon Hardeberg, Pierre Gouton

OE, Vol. 44, Issue 02, 027004, (February 2005) https://doi.org/10.1117/12.10.1117/1.1839889

KEYWORDS: Multispectral imaging, Optical calibration, Imaging systems, Optical filters, Image filtering, Cameras, Image processing, Calibration, Optical engineering, Interference filters

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