Input-level-dependent approach to color error diffusion

Vishal Monga; Niranjan Damera-Venkata; Brian L. Evans

doi:10.1117/12.539802

18 December 2003 Input-level-dependent approach to color error diffusion

Vishal Monga, Niranjan Damera-Venkata, Brian L. Evans

Proceedings Volume 5293, Color Imaging IX: Processing, Hardcopy, and Applications; (2003) https://doi.org/10.1117/12.539802
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

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.

Citation Download Citation

Vishal Monga, Niranjan Damera-Venkata, and Brian L. Evans "Input-level-dependent approach to color error diffusion", Proc. SPIE 5293, Color Imaging IX: Processing, Hardcopy, and Applications, (18 December 2003); https://doi.org/10.1117/12.539802

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