Matrix Gain Model for Vector Color Error Diffusion

Traditional error diffusion halftoning produces high quality binary images from digital grayscale images. Error diffusion shapes the quantization noise power into the high frequency regions where the human eye is the least sensitive. Error diffusion may be extended to color images by using error filters with matrix-valued coefficients to take into account the correlation among color planes. We propose a new matrix gain model to linearize vector color error diffusion. The model predicts key characteristics of color error diffusion, esp. linear frequency distortion and color noise shaping.

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Last Updated 01/30/03.