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首页> 外文期刊>International Journal of Innovative Computing Information and Control >A NOVEL COMPRESSION SCHEME BASED ON SMVQ AND HUFFMAN CODING
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A NOVEL COMPRESSION SCHEME BASED ON SMVQ AND HUFFMAN CODING

机译：基于SMVQ和哈夫曼编码的新型压缩方案

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摘要

Recently, some image compression techniques have been proposed to obtain better compression rates and thus decrease data storage requirements and improve communications costs. In this paper, we propose a novel lossless image compression scheme that combines side match vector quantization (SMVQ) and the Huffman coding algorithm to further improve image compression rates. This new technique first transforms an image by using the SMVQ technique to generate a transformed index table. Then the transformed index table is encoded with the Huffman coding algorithm. Experimental results show that the performance of the new scheme is much better than that of previous VQ-based schemes when a codebook size of 128 or 256 is used. The proposed scheme decreases compression rates in comparison with traditional VQ techniques, as well as three previous VQ-based schemes. Moreover, our scheme is lossless; therefore, after the decoding phase is completed, the original index table can be reconstructed without any distortion.
机译：最近，已经提出了一些图像压缩技术来获得更好的压缩率，从而降低数据存储需求并提高通信成本。在本文中，我们提出了一种新颖的无损图像压缩方案，该方案结合了侧面匹配矢量量化（SMVQ）和霍夫曼编码算法，可以进一步提高图像压缩率。这项新技术首先通过使用SMVQ技术转换图像以生成转换后的索引表。然后，使用霍夫曼编码算法对变换后的索引表进行编码。实验结果表明，当使用128或256码本时，新方案的性能比以前的基于VQ的方案要好得多。与传统的VQ技术以及以前的三个基于VQ的方案相比，该方案降低了压缩率。而且，我们的计划是无损的；因此，在解码阶段完成之后，可以重建原始索引表而没有任何失真。

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  • 作者

    Chin-Chen Chang; Thai-Son Nguyen; Chia-Chen Lin;

  • 作者单位

    Department of Information Engineering and Computer Science Feng Chia University No. 100, Wenhwa Road, Seatwen, Taichung 40724, Taiwan,Department of Biomedical Imaging and Radiological Science China Medical University No. 91, Hsueh-Shih Road, Taichung 40402, Taiwan;

    Department of Information Engineering and Computer Science Feng Chia University No. 100, Wenhwa Road, Seatwen, Taichung 40724, Taiwan;

    Department of Computer Science and Information Management Providence University No. 200, Chung Chi Road, Shalu, Taichung 43301, Taiwan;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    VQ; Image compression; Huffman coding; SMVQ; Lossless compression;

    机译：VQ;图像压缩;霍夫曼编码;SMVQ;无损压缩;

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