IEEE Transactions on Image Processing,
vol. 21, no. 4, pp. 2022-2034, Apr. 2012.
Alleviating Dirty-window-effect in Medium Frame-Rate
Binary Video Halftones
Hamood-ur Rehman
and
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
rehman@mail.utexas.edu -
bevans@ece.utexas.edu
Paper Draft -
Videos
Image and Video Halftoning Research at UT Austin
Abstract
A video display device having a lower number of bits per pixel than
that required by the video to be displayed quantizes the video prior
to its display.
Halftoning can perform this quantization while attempting to reduce
the visibility of certain quantization artifacts.
Quantization artifacts are, nevertheless, not eliminated.
A temporal artifact known as dirty-window-effect can be commonly
observed in medium frame-rate binary video halftones.
In this paper, we propose video halftone enhancement algorithms
to reduce dirty-window-effect.
We assess the performance of the proposed algorithms by presenting
objective measures for dirty-window-effect in the original and the
improved halftone videos.
The expected contributions of this paper include three medium
frame-rate binary video halftone enhancement algorithms that
- reduce dirty-window-effect under a spatial quality constraint,
- reduce dirty-window-effect under a spatial quality constraint
with reduced complexity, and
- reduce dirty-window-effect under spatial and temporal quality
constraints.
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Last Updated 03/23/12.