18 December 2003 Input-level-dependent approach to color error diffusion
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Conventional grayscale error diffusion halftoning produces worms and other objectionable artifacts. Tone dependent error diffusion (Li and Allebach) reduces these artifacts by controlling the diffusion of quantization errors based on the input graylevel. Li and Allebach optimize error filter weights and thresholds for each (input) graylevel based on a human visual system model. This paper extends tone dependent error diffusion to color. In color error diffusion, what color to render becomes a major concern in addition to finding optimal dot patterns. We present a visually optimum design approach for input level (tone) dependent error filters (for each color plane). The resulting halftones reduce traditional error diffusion artifacts and achieve greater accuracy in color rendition.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vishal Monga, Vishal Monga, Niranjan Damera-Venkata, Niranjan Damera-Venkata, Brian L. Evans, Brian L. Evans, } "Input-level-dependent approach to color error diffusion", Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); doi: 10.1117/12.539802; https://doi.org/10.1117/12.539802


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