Dr. Garrett M. Johnson Profile

Dr. Garrett M. Johnson

at Rochester Inst of Techn

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Author

Publications (8)

Proceedings Article | 28 January 2008 Paper

Matching image color from different cameras

Mark Fairchild, David Wyble, Garrett Johnson

Proceedings Volume 6808, 68080E (2008) https://doi.org/10.1117/12.766409

KEYWORDS: Cameras, Visualization, Color reproduction, Image processing, Color management, RGB color model, Digital imaging, Seaborgium, Colorimetry, Digital photography

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Proceedings Article | 29 January 2007 Paper

Appearance can be deceiving: using appearance models in color imaging

Garrett Johnson

Proceedings Volume 6494, 64940G (2007) https://doi.org/10.1117/12.706154

KEYWORDS: Color difference, Image quality, High dynamic range imaging, Spatial filters, Color imaging, Colorimetry, Visual process modeling, Process modeling, Error analysis, Image processing

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As color imaging has evolved through the years, our toolset for understanding has similarly evolved. Research in color difference equations and uniform color spaces spawned tools such as CIELAB, which has had tremendous success over the years. Research on chromatic adaptation and other appearance phenomena then extended CIELAB to form the basis of color appearance models, such as CIECAM02. Color difference equations such as CIEDE2000 evolved to reconcile weaknesses in areas of the CIELAB space. Similarly, models such as S-CIELAB were developed to predict more spatially complex color difference calculations between images. Research in all of these fields is still going strong and there seems to be a trend towards unification of some of the tools, such as calculating color differences in a color appearance space. Along such lines, image appearance models have been developed that attempt to combine all of the above models and metric into one common framework. The goal is to allow the color imaging research to pick and choose the appropriate modeling toolset for their needs. Along these lines, the iCAM image appearance model framework was developed to study a variety of color imaging problems. These include image difference and image quality evaluations as well gamut mapping and high-dynamic range (HDR) rendering. It is important to stress that iCAM was not designed to be a complete color imaging solution, but rather a starting point for unifying models of color appearance, color difference, and spatial vision. As such the choice of model components is highly dependent on the problem being addressed. For example, with CIELAB it clearly evident that it is not necessary to use the associated color difference equations to have great success as a deviceindependent color space. Likewise, it may not be necessary to use the spatial filtering components of an image appearance model when performing image rendering. This paper attempts to shed some light on some of the confusions involved with selecting the desired components for color imaging research. The use of image appearance type models for calculating image differences, like S-CIELAB and those recommended by CIE TC8-02 will be discussed. Similarly the use of image appearance for HDR applications, as studied by CIE TC8-08, will also be examined. As with any large project, the easiest way to success is in understanding and selecting the right tool for the job.

Proceedings Article | 17 January 2005 Paper

Cares and concerns of CIE TC8-08: spatial appearance modeling and HDR rendering

Garrett Johnson

Proceedings Volume 5668, (2005) https://doi.org/10.1117/12.602120

KEYWORDS: High dynamic range imaging, LCDs, Photography, Visibility, Visual system, Visual optics, Visualization, CRTs, Display technology, Color reproduction

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Proceedings Article | 17 January 2005 Paper

The effect of opponent noise on image quality

Garrett Johnson, Mark Fairchild

Proceedings Volume 5668, (2005) https://doi.org/10.1117/12.587384

KEYWORDS: Image quality, Colorimetry, Visual process modeling, Spatial frequencies, Visualization, Contrast sensitivity, Visual system, Data modeling, Spatial filters, RGB color model

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SPIE Journal Paper | 1 January 2004

iCAM framework for image appearance, differences, and quality

Mark Fairchild, Garrett Johnson

JEI, Vol. 13, Issue 01, (January 2004) https://doi.org/10.1117/12.10.1117/1.1635368

KEYWORDS: Image quality, Visual process modeling, Colorimetry, Data modeling, RGB color model, High dynamic range imaging, Video, Color difference, Imaging systems, Spatial filters

Proceedings Article | 18 December 2003 Paper

Image quality scaling of electrophotographic prints

Garrett Johnson, Rohit Patil, Ethan Montag, Mark Fairchild

Proceedings Volume 5294, (2003) https://doi.org/10.1117/12.524254

KEYWORDS: Image quality, Printing, Modulation transfer functions, Image filtering, Visualization, Imaging systems, Linear filtering, Tablets, Solids, Scanners

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Proceedings Article | 17 June 2003 Paper

Image appearance modeling

Mark Fairchild, Garrett Johnson

Proceedings Volume 5007, (2003) https://doi.org/10.1117/12.477370

KEYWORDS: Image quality, Visual process modeling, Video, High dynamic range imaging, Colorimetry, RGB color model, Imaging systems, Digital imaging, Systems modeling, Data modeling

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Proceedings Article | 17 June 2003 Paper

Measuring images: differences, quality, and appearance

Garrett Johnson, Mark Fairchild

Proceedings Volume 5007, (2003) https://doi.org/10.1117/12.477771

KEYWORDS: Image quality, Color difference, Visual process modeling, Spatial filters, Spatial frequencies, Visual system, Instrument modeling, Image processing, Contrast sensitivity, Image resolution

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Showing 5 of 8 publications

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