Vector quantization for compression of noisy imagery

Per Cronvall; Astrid Lundmark

doi:10.1117/12.542117

15 July 2004 Vector quantization for compression of noisy imagery

Per Cronvall, Astrid Lundmark

Proceedings Volume 5438, Visual Information Processing XIII; (2004) https://doi.org/10.1117/12.542117
Event: Defense and Security, 2004, Orlando, Florida, United States

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.

Citation Download Citation

Per Cronvall and Astrid Lundmark "Vector quantization for compression of noisy imagery", Proc. SPIE 5438, Visual Information Processing XIII, (15 July 2004); https://doi.org/10.1117/12.542117

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