Prof. Pirkko Oittinen Profile

Prof. Pirkko Oittinen

at Aalto Univ School of Science and Technology

SPIE Involvement:

Author

Publications (17)

SPIE Journal Paper | 15 September 2014

Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions

Mikko Nuutinen, Toni Virtanen, Pirkko Oittinen

JEI, Vol. 23, Issue 06, 061111, (September 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.6.061111

KEYWORDS: Image quality, Cameras, Distortion, Wavelets, Databases, Image processing, Photography, Linear filtering, Image filtering, Feature selection

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SPIE Journal Paper | 5 March 2014 Open Access

Stereoscopic depth perception in video see-through augmented reality within action space

Mikko Kytö, Aleksi Mäkinen, Timo Tossavainen, Pirkko Oittinen

JEI, Vol. 23, Issue 01, 011006, (March 2014) https://doi.org/10.1117/12.10.1117/1.JEI.23.1.011006

KEYWORDS: Head-mounted displays, Visualization, Video, Error analysis, Augmented reality, Cameras, Eye, Head, Rods, X-rays

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SPIE Journal Paper | 27 February 2012

Effect of camera separation on the viewing experience of stereoscopic photographs

Mikko Kytö, Jussi Hakala, Pirkko Oittinen, Jukka Häkkinen

JEI, Vol. 21, Issue 1, 011011, (February 2012) https://doi.org/10.1117/12.10.1117/1.JEI.21.1.011011

KEYWORDS: Cameras, Photography, Image quality, Visualization, 3D image processing, Stereoscopy, Mobile devices, Stereoscopic cameras, Light sources and illumination, Molybdenum

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Proceedings Article | 26 February 2011 Paper

Effect of image scaling on stereoscopic movie experience

Jukka Häkkinen, Jussi Hakala, Miska Hannuksela, Pirkko Oittinen

Proceedings Volume 7863, 78630R (2011) https://doi.org/10.1117/12.872530

KEYWORDS: Cameras, Video, Visualization, Televisions, Eye, 3D image processing, Image scaling, Stereoscopic cameras, MATLAB, Glasses

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Proceedings Article | 16 February 2011 Paper

Interestingness of stereoscopic images

Jussi Hakala, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7863, 78631S (2011) https://doi.org/10.1117/12.872437

KEYWORDS: Stereoscopy, Eye, Cameras, Photography, Molybdenum, Image quality, Neodymium, Ions, Visualization, Photonic integrated circuits

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Proceedings Article | 27 January 2011 Paper

Method for measuring stereo camera depth accuracy based on stereoscopic vision

Mikko Kytö, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7864, 78640I (2011) https://doi.org/10.1117/12.872015

KEYWORDS: Stereoscopic cameras, Cameras, Calibration, Image resolution, Video, Distance measurement, Spatial resolution, Eye, Imaging systems, Augmented reality

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Proceedings Article | 24 January 2011 Paper

Method for evaluating tone mapping operators for natural high dynamic range images

Mikko Kuhna, Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7876, 78760O (2011) https://doi.org/10.1117/12.872006

KEYWORDS: High dynamic range imaging, Cameras, Image quality, Photography, Image processing, Molybdenum, RGB color model, Optical testing, Image fusion, Standards development

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Proceedings Article | 24 January 2011 Paper

Reference image method for measuring quality of photographs produced by digital cameras

Mikko Nuutinen, Olli Orenius, Timo Säämänen, Pirkko Oittinen

Proceedings Volume 7867, 78670M (2011) https://doi.org/10.1117/12.871999

KEYWORDS: Image quality, Cameras, Molybdenum, Wavelets, Digital cameras, Distortion, Digital imaging, Light emitting diodes, Visualization, Detection and tracking algorithms

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Proceedings Article | 24 January 2011 Paper

Potential of face area data for predicting sharpness of natural images

Mikko Nuutinen, Olli Orenius, Timo Säämänen, Pirkko Oittinen

Proceedings Volume 7867, 786710 (2011) https://doi.org/10.1117/12.871996

KEYWORDS: Cameras, Facial recognition systems, Light emitting diodes, Photography, Wavelets, Image quality, Xenon, Eyeglasses, Statistical analysis, Cell phones

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Proceedings Article | 24 January 2011 Paper

Naturalness and interestingness of test images for visual quality evaluation

Raisa Halonen, Stina Westman, Pirkko Oittinen

Proceedings Volume 7867, 78670Z (2011) https://doi.org/10.1117/12.872390

KEYWORDS: Image quality, Visualization, Photography, Light sources and illumination, Standards development, Image quality standards, Cameras, Binary data, Image processing, Image compression

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Proceedings Article | 18 January 2010 Paper

Reduced-reference quality metrics for measuring the image quality of digitally printed natural images

Mikko Nuutinen, Raisa Halonen, Tuomas Leisti, Pirkko Oittinen

Proceedings Volume 7529, 75290I (2010) https://doi.org/10.1117/12.838883

KEYWORDS: Image quality, Molybdenum, Wavelets, Electrophotography, Imaging devices, Printing, Cameras, Video, Distortion, Photography

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Proceedings Article | 18 January 2010 Paper

Development and measurement of the goodness of test images for visual print quality evaluation

Raisa Halonen, Mikko Nuutinen, Reijo Asikainen, Pirkko Oittinen

Proceedings Volume 7529, 752909 (2010) https://doi.org/10.1117/12.838907

KEYWORDS: Image quality, Visualization, Cameras, Light sources and illumination, Printing, Photography, RGB color model, Image visualization, Image processing, Camera shutters

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Proceedings Article | 19 January 2009 Paper

Development of a balanced test image for visual print quality evaluation

Hanne Salmi, Raisa Halonen, Tuomas Leisti, Pirkko Oittinen, Hannu Saarelma

Proceedings Volume 7242, 72420B (2009) https://doi.org/10.1117/12.805583

KEYWORDS: Image quality, Visualization, Eye, Image visualization, Image processing, Image analysis, Photography, Printing, Skin, Colorimetry

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Proceedings Article | 19 January 2009 Paper

Method for measuring the objective quality of the TV-out function of mobile handsets

Mikko Nuutinen, Pirkko Oittinen

Proceedings Volume 7242, 724212 (2009) https://doi.org/10.1117/12.805425

KEYWORDS: Signal to noise ratio, Image quality, Color reproduction, Digital cameras, Interference (communication), Modulation, Quality measurement, Quantization, Optical testing, Measurement devices

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Digital cameras, printers and displays have their own established methods to measure their performance. Different devices have their own special features and also different metrics and measuring methods. The real meaning of measuring data is often not learnt until hands-on experience is available. The goal of this study was to describe a preliminary method and metrics for measuring the objective image quality of the TV-out function of mobile handsets. The TV-out application was image browsing. Image quality is often measured in terms of color reproduction, noise and sharpness and these attributes were also applied in this study. The color reproduction attribute was studied with color depth, hue reproduction and color accuracy metrics. The noise attribute was studied with the SNR (signal to noise ratio) and chroma noise metrics. The sharpness attribute was studied with the SFR (spatial frequency response) and contrast modulation metrics. The measuring data was gathered by using a method which digitized the analog signal of the TV-out device with a frame grabber card. Based on the results, the quantization accuracy, chroma error and spatial reproduction of the signal were the three fundamental factors which most strongly affected the performance of the TV-out device. The quantization accuracy of the device affects the number of tones that can be reproduced in the image. The quantization accuracy also strongly affects the correctness of hue reproduction. According to the results, the color depth metric was a good indicator of quantization accuracy. The composite signal of TV-out devices transmits both chroma and luminance information in a single signal. A change in the luminance value can change the constant chroma value. Based on the results, the chroma noise metric was a good indicator for measuring this phenomenon. There were differences between the spatial reproductions of the devices studied. The contrast modulation was a clear metric for measuring these differences. The signal sharpening of some TV-out devices hindered the interpretation of SFR data.

Proceedings Article | 28 January 2008 Paper

Framework for modeling visual printed image quality from the paper perspective

Pirkko Oittinen, Raisa Halonen, Anna Kokkonen, Tuomas Leisti, Göte Nyman, Tuomas Eerola, Lasse Lensu, Heikki Kälviäinen, Risto Ritala, Johannes Pulla, Marja Mettänen

Proceedings Volume 6808, 68080L (2008) https://doi.org/10.1117/12.766285

KEYWORDS: Image quality, Printing, Visualization, Profiling, Quality measurement, Visual process modeling, Instrument modeling, Image processing, Scanners, RGB color model

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Proceedings Article | 28 January 2008 Paper

Process perspective on image quality evaluation

Tuomas Leisti, Raisa Halonen, Anna Kokkonen, Hanna Weckman, Marja Mettänen, Lasse Lensu, Risto Ritala, Pirkko Oittinen, Göte Nyman

Proceedings Volume 6808, 68080P (2008) https://doi.org/10.1117/12.765438

KEYWORDS: Image quality, Image processing, Photography, Image analysis, Visualization, Information technology, Nonimpact printing, Statistical analysis, Quality measurement, Skin

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Proceedings Article | 7 February 1997 Paper

Image rendering in low-end color printing

Hannu Saarelma, Pirkko Oittinen

Proceedings Volume 2949, (1997) https://doi.org/10.1117/12.266325

KEYWORDS: Printing, Image processing, Visualization, Data modeling, Image quality, Image enhancement, Performance modeling, Distributed computing, Control systems, Skin

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Showing 5 of 17 publications

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