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Proceedings Paper

Model-based color image sequence quantization
Author(s): Clayton Brian Atkins; Thomas J. Flohr; Dennis P. Hilgenberg; Charles A. Bouman; Jan P. Allebach
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Paper Abstract

We investigate the display of color image sequences using a model-based approach to multilevel error diffusion. We extend Bouman and Kolpatzik's technique for design of optimal filters to the temporal dimension. Our model for the human visual system accounts for the spatial and temporal frequency dependence of the contrast sensitivity of the luminance and chrominance channels. We observe an improvement in image quality over that yielded by frame-independent quantization, when the frame rate is sufficiently high to support temporal averaging by the human visual system.

Paper Details

Date Published: 1 May 1994
PDF: 8 pages
Proc. SPIE 2179, Human Vision, Visual Processing, and Digital Display V, (1 May 1994); doi: 10.1117/12.172682
Show Author Affiliations
Clayton Brian Atkins, Purdue Univ. (United States)
Thomas J. Flohr, Purdue Univ. (United States)
Dennis P. Hilgenberg, Purdue Univ. (United States)
Charles A. Bouman, Purdue Univ. (United States)
Jan P. Allebach, 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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