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Proceedings Paper

Optimal halftoning for network-based imaging
Author(s): Victor Ostromoukhov
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Paper Abstract

In this contribution, we introduce a multiple depth progressive representation for network-based still and moving images. A simple quantization algorithm associated with this representation provides optimal image quality. By optimum, we mean the best possible visual quality for a given value of information under real life constraints such as physical, psychological , or legal constraints. A special variant of the algorithm, multi-depth coherent error diffusion, addresses a specific problem of temporal coherence between frames in moving images. The output produced with our algorithm is visually pleasant because its Fourier spectrum is close to the 'blue noise'.

Paper Details

Date Published: 21 December 2000
PDF: 6 pages
Proc. SPIE 4300, Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI, (21 December 2000); doi: 10.1117/12.410818
Show Author Affiliations
Victor Ostromoukhov, Univ. de Montreal (Canada)

Published in SPIE Proceedings Vol. 4300:
Color Imaging: Device-Independent Color, Color Hardcopy, and Graphic Arts VI
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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