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Color Contrast: A Biological Model and its Application for Real Images

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A novel biological model for color contrast is presented. An additional goal of the model was to achieve automatic color correction of still and video images. The model predicts human visual performance according to the physiology of the first and second order of the colorcoded cells in visual system. It is based on the properties of retinal ganglion cells (opponent cells) and cortical cells (double opponent cells) as well as on chromatic adaptation mechanisms in these double opponent colorcoded cells: remote chromatic adaptation. The simulations calculated the perceived image for still images, and were performed in order to correct image colors. The results indicate that the contribution of adaptation mechanisms to color contrast is significant, robust, and enables color correction of still images.
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Document Type: Research Article

Publication date: January 1, 2002

More about this publication?
  • Started in 2002 and merged with the Color and Imaging Conference (CIC) in 2014, CGIV covered a wide range of topics related to colour and visual information, including color science, computational color, color in computer graphics, color reproduction, volor vision/psychophysics, color image quality, color image processing, and multispectral color science. Drawing papers from researchers, scientists, and engineers worldwide, DGIV offered attendees a unique experience to share with colleagues in industry and academic, and on national and international standards committees. Held every year in Europe, DGIV papers were more academic in their focus and had high student participation rates.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual papers for details.

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