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Proceedings Paper

Vector quantization for compression of noisy imagery
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Paper Abstract

Compression of noisy imagery usually consists of two stages, prefiltering followed by encoding. In this paper we present a technique based on on vector quantization, which combines noise reduction and compression into one step. The idea is to generate a codebook, consisting only of clean image data, which is then used for quantization of the noisy imagery. Simulations performed shows that this approach can efficiently handle images corrupted by noise, and compared to MPEG-4 encoding, this technique, in spite of its simplicity, is the better choice when dealing with high levels of noise.

Paper Details

Date Published: 15 July 2004
PDF: 8 pages
Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); doi: 10.1117/12.542117
Show Author Affiliations
Per Cronvall, Saab Bofors Dynamics (Sweden)
Astrid Lundmark, Saab Bofors Dynamics (Sweden)

Published in SPIE Proceedings Vol. 5438:
Visual Information Processing XIII
Zia-ur Rahman; Robert A. Schowengerdt; Stephen E. Reichenbach, Editor(s)

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