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Proceedings Paper

Contour-Based Postprocessing of Coded Images
Author(s): Yo-Sung Ho; Allen Gersho
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Paper Abstract

A new contour-based postprocessing scheme for encoded images that reduces quantization artifacts near edges and improves perceptual quality is proposed. Based on extracted contour information, our scheme selectively processes the image along edges. This scheme works very effectively by removing distortions around edges while at the same time avoiding edge blurring. Furthermore, edges are sharpened by independent directional filtering of each side of the edge, thereby enhancing perceptual quality. We demonstrate a visually distinctive improvement in perceptual quality for images coded at low rates based on vector quantization and transform coding techniques.

Paper Details

Date Published: 1 November 1989
PDF: 10 pages
Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); doi: 10.1117/12.970152
Show Author Affiliations
Yo-Sung Ho, University of California (United States)
Allen Gersho, University of California (United States)

Published in SPIE Proceedings Vol. 1199:
Visual Communications and Image Processing IV
William A. Pearlman, Editor(s)

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