Proc. IEEE Int. Conf. on
Acoustics, Speech, and Signal Proc.,
vol. 3, pp. 101-104, May 17-21, 2004, Montreal, Canada.
Tone Dependent Color Error Diffusion
Vishal Monga and
Brian L. Evans
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
Draft of 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.
COPYRIGHT NOTICE: All the documents on this server
have been submitted by their authors to scholarly journals or conferences
as indicated, for the purpose of non-commercial dissemination of
scientific work.
The manuscripts are put on-line to facilitate this purpose.
These manuscripts are copyrighted by the authors or the journals in which
they were published.
You may copy a manuscript for scholarly, non-commercial purposes, such
as research or instruction, provided that you agree to respect these
copyrights.
Last Updated 01/16/06.