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Vektorkvantisering för kodning och brusreducering / Vector quantization for coding and noise reduction

This thesis explores the possibilities of avoiding the issues generally associated with compression of noisy imagery, through the usage of vector quantization. By utilizing the learning aspects of vector quantization, image processing operations such as noise reduction could be implemented in a straightforward way. Several techniques are presented and evaluated. A direct comparison shows that for noisy imagery, vector quantization, in spite of it's simplicity, has clear advantages over MPEG-4 encoding.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-2377
Date January 2004
CreatorsCronvall, Per
PublisherLinköpings universitet, Institutionen för systemteknik, Institutionen för systemteknik
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess
RelationLiTH-ISY-Ex, ; 3541

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