An Analytical Approach for Sampling the RGB Color Space Considering Physiological Limitations of Human Vision and its Application for Color Image Analysis
نویسندگان
چکیده
Most of the color image processing algorithms do not consider the non-linearity of human vision, and the limitations of the human vision likecapability to discriminate between two similar colors and maximum number of colors human vision can respond to. In this paper, the nonlinearity and physiological limitations of human vision have been used for sampling the RGB color space. The large redundancy, non-linearity and huge color space dimensionality in the real life color image data reduces the efficiency of color image processing, coding and analysis algorithms. This approach, along with sampling the color space, automatically reduces the redundancy in the data. This reduction in redundancy in color image data has been carried out, while maintaining the visual similarity with the original image. Further a new form of the RGB space named JR , JG and JB which is linear and perceptually uniform has been proposed. Finally some applications of this approach have been presented.
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