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Psychovisual Quantization of Color Images

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Color image quantization is very used in several applications of image processing. In this paper, we present an original approach to define quantizers for color images taking into account human visual system properties. As this approach is entirely based on results of psychophysics experiments, we define it as psychovisual quantization. From experiments, we have constructed a model to define the optimal quantization law in various spatial frequency without introducing any visible degradation. This model include three steps: a component decomposition defining a color space, a sub-band decomposition which emulates the frequency tuning of human visual system receptor fields, and finally an adaptation of the quantization law according to the modification of the visibility of a signal depending of its context due to the masking effect. Obtained model is used to define the optimal quantization laws adapted to any color image.
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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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