A Novel Variable-Rate Classified Vector Quantizer Design Algorithm for Image Coding

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概要

• 論文の詳細を見る

• This paper presents a novel classified vector quantizer(CVQ) design algorithm which can control the rate and storage size for applications of image coding. In the algorithm, the classification of image blocks is based on the edge orientation of each block in the wavelet domain. The algorithm allocates the rate and storage size available to each class of the CVQ optimally so that the average distortion is minimized. To reduce the arithmetic complexity of the CVQ, we employ a partial distance codeword search algorithm in the wavelet domain. Simulation results show that the CVQ enjoys low average distortion, low encoding complexity, high visual perception quality, and is well-suited for very low bit rate image coding.

• 社団法人電子情報通信学会の論文
• 1998-07-25

著者

• Tu Yue-shen

  Department Of Electrical Engineering Chung Yuan Christian University

• Hwang W‐j

  Chung Yuan Christian Univ. Chungli Twn

• HWANG Wen-Jyi

  Department of Electrical Engineering, Chung Yuan Christian University

• LU Yeong-Cherug

  Department of Electrical Engineering, Chung Yuan Christian University

• Hwang Wen-jyi

  Department Of Electrical Engineering Chung Yuan Christian University

• Lu Yeong-cherug

  Department Of Electrical Engineering Chung Yuan Christian University

関連論文

• A Novel Variable-Rate Classified Vector Quantizer Design Algorithm for Image Coding
• A Fuzzy Entropy-Constrained Vector Quantizer Design Algorithm and Its Applications to Image Coding
• A Novel Competitive Learning Technique for the Design of Variable-Rate Vector Quantizers with Reproduction Vector Training in the Wavelet Domain

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