Literature DB >> 21869373

The synthesis and analysis of color images.

B A Wandell1.   

Abstract

I describe a method for performing the synthesis and analysis of digital color images. The method is based on two principles. First, image data are represented with respect to the separate physical factors, surface reflectance and the spectral power distribution of the ambient light, that give rise to the perceived color of an object. Second, the encoding is made efficient by using a basis expansion for the surface spectral reflectance and spectral power distribution of the ambient light that takes advantage of the high degree of correlation across the visible wavelengths normally found in such functions. Within this framework, the same basic methods can be used to synthesize image data for color display monitors and printed materials, and to analyze image data into estimates of the spectral power distribution and surface spectral reflectances. The method can be applied to a variety of tasks. Examples of applications include the color balancing of color images and the identification of material surface spectral reflectance when the lighting cannot be completely controlled.

Year:  1987        PMID: 21869373     DOI: 10.1109/tpami.1987.4767868

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  8 in total

1.  Bayesian model of human color constancy.

Authors:  David H Brainard; Philippe Longère; Peter B Delahunt; William T Freeman; James M Kraft; Bei Xiao
Journal:  J Vis       Date:  2006-11-06       Impact factor: 2.240

2.  The relation between color discrimination and color constancy: when is optimal adaptation task dependent?

Authors:  Alicia B Abrams; James M Hillis; David H Brainard
Journal:  Neural Comput       Date:  2007-10       Impact factor: 2.026

3.  Colour and illumination in computer vision.

Authors:  Graham D Finlayson
Journal:  Interface Focus       Date:  2018-06-15       Impact factor: 3.906

4.  RenderToolbox3: MATLAB tools that facilitate physically based stimulus rendering for vision research.

Authors:  Benjamin S Heasly; Nicolas P Cottaris; Daniel P Lichtman; Bei Xiao; David H Brainard
Journal:  J Vis       Date:  2014-02-07       Impact factor: 2.240

5.  A regularized approach to color constancy.

Authors:  J Rubner; K Schulten
Journal:  Biol Cybern       Date:  1989       Impact factor: 2.086

6.  Compressive recovery of smartphone RGB spectral sensitivity functions.

Authors:  Yuhyun Ji; Yunsang Kwak; Sang Mok Park; Young L Kim
Journal:  Opt Express       Date:  2021-04-12       Impact factor: 3.894

7.  Natural images from the birthplace of the human eye.

Authors:  Gašper Tkačik; Patrick Garrigan; Charles Ratliff; Grega Milčinski; Jennifer M Klein; Lucia H Seyfarth; Peter Sterling; David H Brainard; Vijay Balasubramanian
Journal:  PLoS One       Date:  2011-06-16       Impact factor: 3.240

8.  Physically Plausible Spectral Reconstruction.

Authors:  Yi-Tun Lin; Graham D Finlayson
Journal:  Sensors (Basel)       Date:  2020-11-09       Impact factor: 3.576

  8 in total

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