1 June 1997 New tree-structured vector quantization with closest-coupled multipath searching method
Chin-Chen Chang, Tung-Shou Chen
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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.
Chin-Chen Chang and Tung-Shou Chen "New tree-structured vector quantization with closest-coupled multipath searching method," Optical Engineering 36(6), (1 June 1997). https://doi.org/10.1117/1.601197
Published: 1 June 1997
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Cited by 27 scholarly publications.
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KEYWORDS
Computer programming

Image quality

Quantization

Surface plasmons

Distortion

Image compression

Binary data

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