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Vektorkvantisering för kodning och brusreducering
Linköping University, Department of Electrical Engineering.
2004 (Swedish)Independent thesis Basic level (professional degree)Student thesisAlternative title
Vector quantization for coding and noise reduction (English)
Abstract [en]

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.

Place, publisher, year, edition, pages
Institutionen för systemteknik , 2004. , 56 p.
LiTH-ISY-Ex, 3541
Keyword [en]
Technology, Image coding, video coding, image compression, video compression, de-noising, vector quantization, VQ, NLIVQ, Hexagonal Close Packing
Keyword [sv]
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-2377OAI: diva2:19709
Available from: 2004-06-01 Created: 2004-06-01

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Department of Electrical Engineering
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