Rate-Distortion Coding Simulation For Color Images

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Abstract
It is hypothesized that a rudimentary measure of human color perception can help define a fidelity measure for color image coding. A simple visual model is considered, which defines a non-linear transformation of the red, green and blue image components into functions that are more closely related to the perceived colored stimuli. The effects of the transformations on image coding efficiency are discussed, and an optimal coder, which minimizes the average distortion of these "perceptual" image functions is simulated. Results provide a tentative quality yardstick for actual coders operating at the same bit rate, but further experiments will be required to substantiate the results.

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