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  • 标题:Improved Mean-Removed Vector Quantization Scheme for Grayscale Image Coding
  • 本地全文:下载
  • 作者:Jun-Chou Chuang ; Yu-Chen Hu ; Chun-Chi Lo
  • 期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
  • 印刷版ISSN:2005-4254
  • 出版年度:2013
  • 卷号:6
  • 期号:5
  • 页码:315-332
  • 出版社:SERSC
  • 摘要:The mean-removed vector quantization (MRVQ) scheme achieves good reconstructed image quality, but it requires a high number of bit rates. In this paper, we propose an improved MRVQ scheme. The compressed codes of MRVQ for an image block contain the block mean and the index recording the closest residual vector in the codebook. In the proposed scheme, the block mean values are encoded by the linear prediction technique followed by the Huffman coding technique. The MRVQ indices of the residual vectors are further compressed by the Huffman coding technique. From the experimental results, it is shown that a great deal of bit rate reduction is achieved by using the proposed scheme with acceptable image quality loss.
  • 关键词:Image coding; vector quantization; mean-removed vector quantization; linear prediction; Huffman coding
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