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Complexity-reduction techniques for vector quantization in image and video coding

Shranjeno v:
izdano v:ProQuest Dissertations and Theses (1995)
Glavni avtor: Cao, Qinghong
Izdano:
ProQuest Dissertations & Theses
Teme:
Electrical engineering
Online dostop:Citation/Abstract
Full Text - PDF
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100 1 |a Cao, Qinghong 
245 1 |a Complexity-reduction techniques for vector quantization in image and video coding 
260 |b ProQuest Dissertations & Theses  |c 1995 
513 |a Dissertation/Thesis 
520 3 |a The fundamental concepts of vector quantization (VQ) have been discussed, mainly concentrated on the high computational complexity and high storage complexity of vector quantization for image coding. A new multilevel codebook searching (MCS) algorithm is introduced to reduce VQ encoding complexity while preserving the quality of VQ. A VLSI implementation of vector quantization using distributed arithmetic has been proposed as well as a self-sustained chip design for image coding. The basic concepts of lattice vector quantization and its application in image coding have been introduced. A variable rate two-stage vector quantization-lattice vector quantization algorithm for vector sub-band image coding has been proposed. A Generalized labeling algorithm for various lattice with pyramid and sphere boundaries has been developed. 
653 |a Electrical engineering 
773 0 |t ProQuest Dissertations and Theses  |g (1995) 
786 0 |d ProQuest  |t ProQuest Dissertations & Theses Global 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/304218404/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/304218404/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch