Paper
25 October 1988 Postprocessing For Edge Enhancement In Low Bit Rate Coded Images
Ken Sauer
Author Affiliations +
Proceedings Volume 1001, Visual Communications and Image Processing '88: Third in a Series; (1988) https://doi.org/10.1117/12.969010
Event: Visual Communications and Image Processing III, 1988, Cambridge, MA, United States
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ken Sauer "Postprocessing For Edge Enhancement In Low Bit Rate Coded Images", Proc. SPIE 1001, Visual Communications and Image Processing '88: Third in a Series, (25 October 1988); https://doi.org/10.1117/12.969010
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Cited by 1 scholarly publication.
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KEYWORDS
Distortion

Edge detection

Visual communications

Image processing

Quantization

Reconstruction algorithms

Electronic filtering

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