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
Center for Perceptual Systems,
The University of Texas at Austin,
Austin, TX 78712-1084 USA
(2) Halftoning and Image Processing Group,
1501 Page Mill Road,
Palo Alto, CA 94304
at UT Austin
Conventional grayscale error diffusion halftoning produces worms and other
Tone dependent error diffusion (Li and Allebach) reduces these artifacts
by controlling the diffusion of quantization errors based on the input
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.