Proc. IS&T/SPIE Conf. on Color Imaging: Processing, Hardcopy, and Applications IX, Jan. 18-22, 2004, vol. 5293, pp. 333-343, San Jose, CA USA

Input-Level Dependent Approach to Color Error Diffusion

Vishal Monga (1), Niranjan Damera-Venkata (2), and Brian L. Evans (1)

(1) Embedded Signal Processing Laboratory, Center for Perceptual Systems, The University of Texas at Austin, Austin, TX 78712-1084 USA
Vishal.Monga@xeroxlabs.com - bevans@ece.utexas.edu

(2) Halftoning and Image Processing Group, Hewlett-Packard Laboratories, 1501 Page Mill Road, Palo Alto, CA 94304
damera@exch.hpl.hp.com

Paper - Talk

Halftoning Research at UT Austin

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 design error filter weights and thresholds for each (input) graylevel optimized based on a human visual system (HVS) 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.

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Last Updated 01/31/16.