Fast feature-based vector quantization algorithm of image coding

Yih Chuan Lin, Shen-Chuan Tai

研究成果: Article

5 引文 (Scopus)

摘要

A fast vector quantization algorithm is presented that exploits the spatial redundancy between neighboring vectors of pixels in an image to improve the performance of the triangle inequality elimination ruler, and employs the integral projection technique, a dimension-reduction method, to reduce the computational complexity of calculating distortion measure. Application of dimension reduction in distortion measures may result in some degradation of objective image quality. But a significant complexity reduction of over 90% in comparison with the conventional full-search method can be achieved. The degradation of image quality is only less than 0.2 dB in peak signal-to-noise ratio. Acceptable image quality should be obtained successfully.

原文English
頁(從 - 到)2918-2926
頁數9
期刊Optical Engineering
34
發行號10
DOIs
出版狀態Published - 1995 一月 1

指紋

vector quantization
Vector quantization
Image coding
Image quality
coding
Degradation
degradation
Redundancy
Computational complexity
Signal to noise ratio
redundancy
Pixels
triangles
elimination
signal to noise ratios
projection
pixels

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

引用此文

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Fast feature-based vector quantization algorithm of image coding. / Lin, Yih Chuan; Tai, Shen-Chuan.

於: Optical Engineering, 卷 34, 編號 10, 01.01.1995, p. 2918-2926.

研究成果: Article

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