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Document Type : Latin Dissertation
Language of Document : English
Record Number : 151874
Doc. No : ET23666
Main Entry : Bin Zhang
Title Proper : STILL IMAGE DATA COMPRESSION USING ADAPTIVE SET PARTITIONING WAVELET VECTOR QUANTIZATION
Note : This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract : The Set Partitioning in Hierarchical Trees (SPIHT) approach has become one of themost efficient still image data compression schemes. Here a new algorithm called AdaptiveSet Partitioning Wavelet Vector Quantization (ASPWVQ) is presented. ASPWVQ appliesthe set partitioning concept in the context of our previously developed coding method basedupon wavelet vector quantization (VQ) and rate-distortion optimization, which is calledWRDADRIJQ. By adopting the set partitioning idea, ASPWVQ can use fewer bits to codethe ordering information of the VQs. Moreover, a new set of codebooks is designed basedupon average energy of wavelet decomposition coe5cients. The performance of ASPWQ............-....,....-...,..tested for theQ1 PC1 bus cardBoth these projects mere sofixare des elopment efforts tonards contributing to dlfferentaspects of Roboucs and lZ1echatronics projects m the Controls and Roboucs Group..
Subject : Electericl tess
: برق
electronic file name : TL46913.pdf
Title and statement of responsibility and : STILL IMAGE DATA COMPRESSION USING ADAPTIVE SET PARTITIONING WAVELET VECTOR QUANTIZATION [Thesis]
 
 
 
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