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Proceedings Paper

Least-squares model-based video halftoning
Author(s): Dennis P. Hilgenberg; Thomas J. Flohr; Clayton Brian Atkins; Jan P. Allebach; Charles A. Bouman
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Paper Abstract

A technique for halftoning video sequences is presented. First, an error metric is designed, incorporating psychophysical spatio-temporal contrast sensitivity data for the human visual system. An efficient strategy for producing halftone sequences that minimize the error is then developed. The technique is compared with video halftoning algorithms that do not consider the temporal aspect of the human visual system.

Paper Details

Date Published: 1 May 1994
PDF: 11 pages
Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); doi: 10.1117/12.172672
Show Author Affiliations
Dennis P. Hilgenberg, Purdue Univ. (United States)
Thomas J. Flohr, Purdue Univ. (United States)
Clayton Brian Atkins, Purdue Univ. (United States)
Jan P. Allebach, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)


Published in SPIE Proceedings Vol. 2179:
Human Vision, Visual Processing, and Digital Display V
Bernice E. Rogowitz; Jan P. Allebach, Editor(s)

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