Color error diffusion with generalized optimum noise shaping
نویسندگان
چکیده
We optimize the noise shaping behavior of color error diffusion by designing an optimized error lter based on a proposed noise shaping model for color error di usion and a generalized linear spatially-invariant model of the human visual system. Our approach allows the error lter to have matrix-valued coe cients and di use quantization error across channels in an opponent color representation. Thus, the noise is shaped into frequency regions of reduced human color sensitivity. To obtain the optimal lter, we derive a matrix version of the Yule-Walker equations which we solve by using a gradient descent algorithm.
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