An improved EZBC algorithm based on block bit length

<p>Abstract</p> <p>Embedded ZeroBlock Coding and context modeling (EZBC) algorithm has high compression performance. However, it consumes large amounts of memory space because an Amplitude Quadtree of wavelet coefficients and other two link lists would be built during the encoding...

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Main Authors: Wang Wenda, Zhang Li, Wang Renlong, Ruan Shuangchen, Liu Chengxiang
Format: Article
Language:English
Published: SpringerOpen 2011-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Online Access:http://asp.eurasipjournals.com/content/2011/1/84
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author Wang Wenda
Zhang Li
Wang Renlong
Ruan Shuangchen
Liu Chengxiang
author_facet Wang Wenda
Zhang Li
Wang Renlong
Ruan Shuangchen
Liu Chengxiang
author_sort Wang Wenda
collection DOAJ
description <p>Abstract</p> <p>Embedded ZeroBlock Coding and context modeling (EZBC) algorithm has high compression performance. However, it consumes large amounts of memory space because an Amplitude Quadtree of wavelet coefficients and other two link lists would be built during the encoding process. This is one of the big challenges for EZBC to be used in real time or hardware applications. An improved EZBC algorithm based on bit length of coefficients was brought forward in this article. It uses Bit Length Quadtree to complete the coding process and output the context for Arithmetic Coder. It can achieve the same compression performance as EZBC and save more than 75% memory space required in the encoding process. As Bit Length Quadtree can quickly locate the wavelet coefficients and judge their significance, the improved algorithm can dramatically accelerate the encoding speed. These improvements are also beneficial for hardware.</p> <p><b>PACS</b>: 42.30.Va, 42.30.Wb</p>
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spelling doaj.art-fe63e72d663d4c0e81a7cdf189e38df42022-12-22T01:22:57ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802011-01-012011184An improved EZBC algorithm based on block bit lengthWang WendaZhang LiWang RenlongRuan ShuangchenLiu Chengxiang<p>Abstract</p> <p>Embedded ZeroBlock Coding and context modeling (EZBC) algorithm has high compression performance. However, it consumes large amounts of memory space because an Amplitude Quadtree of wavelet coefficients and other two link lists would be built during the encoding process. This is one of the big challenges for EZBC to be used in real time or hardware applications. An improved EZBC algorithm based on bit length of coefficients was brought forward in this article. It uses Bit Length Quadtree to complete the coding process and output the context for Arithmetic Coder. It can achieve the same compression performance as EZBC and save more than 75% memory space required in the encoding process. As Bit Length Quadtree can quickly locate the wavelet coefficients and judge their significance, the improved algorithm can dramatically accelerate the encoding speed. These improvements are also beneficial for hardware.</p> <p><b>PACS</b>: 42.30.Va, 42.30.Wb</p>http://asp.eurasipjournals.com/content/2011/1/84block bit-lengthzeroblockEZBCQuadtreeDWT
spellingShingle Wang Wenda
Zhang Li
Wang Renlong
Ruan Shuangchen
Liu Chengxiang
An improved EZBC algorithm based on block bit length
EURASIP Journal on Advances in Signal Processing
block bit-length
zeroblock
EZBC
Quadtree
DWT
title An improved EZBC algorithm based on block bit length
title_full An improved EZBC algorithm based on block bit length
title_fullStr An improved EZBC algorithm based on block bit length
title_full_unstemmed An improved EZBC algorithm based on block bit length
title_short An improved EZBC algorithm based on block bit length
title_sort improved ezbc algorithm based on block bit length
topic block bit-length
zeroblock
EZBC
Quadtree
DWT
url http://asp.eurasipjournals.com/content/2011/1/84
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