Least-squares model-based video halftoning

Dennis P. Hilgenberg; Thomas J. Flohr; Clayton Brian Atkins; Jan P. Allebach; Charles A. Bouman

doi:10.1117/12.172672

1 May 1994 Least-squares model-based video halftoning

Dennis P. Hilgenberg, Thomas J. Flohr, Clayton Brian Atkins, Jan P. Allebach, Charles A. Bouman

Author Affiliations +

Proceedings Volume 2179, Human Vision, Visual Processing, and Digital Display V; (1994) https://doi.org/10.1117/12.172672
Event: IS&T/SPIE 1994 International Symposium on Electronic Imaging: Science and Technology, 1994, San Jose, CA, United States

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.

Citation Download Citation

Dennis P. Hilgenberg, Thomas J. Flohr, Clayton Brian Atkins, Jan P. Allebach, and Charles A. Bouman "Least-squares model-based video halftoning", Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); https://doi.org/10.1117/12.172672

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