EURASIP Journal on Image and Video Processing,
Special issue on
Methods for Color Image and Video Quality Enhancement,
vol. 2010, Oct. 2010, 11 pages, Article ID 625191.
A Framework for the Assessment of Temporal Artifacts 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
Original videos and their halftones
Image Halftoning Research at UT Austin
Display of a video having a higher number of bits per pixel than
that available on the display device requires quantization prior
Video halftoning performs this quantization so as to reduce visibility
of certain artifacts.
In many cases, visibility of one set of artifacts is decreased at
the expense of increasing the visibility of another set.
In this paper, we focus on two key temporal artifacts, flicker and
dirty-window-effect, in binary video halftones.
We quantify the visibility of these two artifacts when the video
halftone is displayed at low to medium frame rates (up to 30 frames
We propose new video halftoning methods to reduce visibility of
The proposed contributions are
- an enhanced measure of perceived flicker,
- a new measure of perceived dirty-window-effect,
- a new video halftoning method to reduce flicker, and
- a new video halftoning method to reduce dirty-window-effect.
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Last Updated 10/20/10.