An adaptive error diffusion algorithm which exploits the statistical characteristics of the modified input is developed to match the grey-levels of the input and the halftoned images. We adjust the threshold by using the quantization error to reflect the local characteristics and reduce the memory requirements. The proposed algorithm is combined with a color inkjet printer model to compensate for the distortion caused by the dot size differences in each color.
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