New tree-structured vector quantization with closest-coupled multipath searching method

Chin-Chen Chang; Tung -Shou Chen

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New tree-structured vector quantization with closest-coupled multipath searching method

机译：New tree-structured vector quantization with closest-coupled multipath searching method

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摘要

We propose a new method to improve the image quality and the. encoding time of tree-structured vector quantization (TSVQ). We call this new method the closest-coupled tree-structured vector quantization (CCTSVQ). In this method, we use the closest-neighboring pointers to enlarge the search range of each search path and guide all search paths into more appropriate codewords. CCTSVQ therefore improves the image quality of TSVQ. This fact is shown in our experimental results. Furthermore, in these experimental results, we see that the encoding time of CCTSVQ is always faster than that of TSVQ, based on the same image quality. # 1997 Society of Photo-Optical Instrumentation Engineers. IS0091-3286(97)03206-6

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来源
《Optical Engineering》 |1997年第6期|1713-1720|共8页
作者
Chin-Chen Chang; Tung -Shou Chen;
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作者单位

National Chung Cheng University/ Dapartment of Computer Science and Information Engineering Chaiyi, Taiwan;

National Chin-Yi Institute of Technology Department of Information Management/ Taiping, Taichung, Taiwan E-mail: tschen@chinyi.ncit.edu.tw;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
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New tree-structured vector quantization with closest-coupled multipath searching method

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