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
Brian L. Evans
Department of Electrical
and Computer Engineering,
Engineering Science Building,
The University of Texas at Austin,
Austin, TX 78712 USA
Paper Draft -
Image and Video Halftoning Research at UT Austin
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
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
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
Last Updated 03/23/12.