Paper
1 November 1989 Contour-Based Postprocessing of Coded Images
Yo-Sung Ho, Allen Gersho
Author Affiliations +
Proceedings Volume 1199, Visual Communications and Image Processing IV; (1989) https://doi.org/10.1117/12.970152
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
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.
© (1989) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yo-Sung Ho and Allen Gersho "Contour-Based Postprocessing of Coded Images", Proc. SPIE 1199, Visual Communications and Image Processing IV, (1 November 1989); https://doi.org/10.1117/12.970152
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CITATIONS
Cited by 7 scholarly publications and 2 patents.
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KEYWORDS
Image processing

Digital filtering

Optical filters

Edge detection

Image segmentation

Image filtering

Detection and tracking algorithms

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