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Proceedings Paper

Postprocessing For Edge Enhancement In Low Bit Rate Coded Images
Author(s): Ken Sauer
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Paper Abstract

Low bit rate image coding results in artifacts at reconstruction whose characteristics depend on the form of the coding/decoding algorithm used. A very common, and visually objectionable effect of most coding methods is distortion of edges. Classical spatially-invariant filtering techniques are of little use in removing this signal-dependent reconstruction error. This paper presents an algorithm for locating and tracing perceptually important edges, and for enhancement through nonstationary filtering. Edge detection and enhancement are reduced to a sequence of simple one-dimensional processes. The algorithm yields encouraging experimental results when applied to images coded by the block list transform and vector quantization.

Paper Details

Date Published: 25 October 1988
PDF: 8 pages
Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); doi: 10.1117/12.969010
Show Author Affiliations
Ken Sauer, Princeton University (United States)


Published in SPIE Proceedings Vol. 1001:
Visual Communications and Image Processing '88: Third in a Series
T. Russell Hsing, Editor(s)

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