文章基本信息

标题：Context-Based Adaptive Variable Length Coding based Compression Scheme for Images
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作者：V. Subramanian ; V. R. Radhika ; V. Kalaipoonguzhali 等
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2012
卷号：3
期号：3-2
出版社：Seventh Sense Research Group
摘要：In order to achieve a high compression ratio, the ContextBased Adaptive Variable Length Coding (CBAVLC) standard has incorporated a large number of coding modes which must be evaluated during the coding process to determine the optimal ratedistortion tradeoff. The coding gains of CBAVLC arise at the expense of significant coder complexity. One coder process that has been identified as having potential for achieving computation savings is the selection between skipping the coding of a macro block and coding of the macro block in one of the remaining coding modes. In low contrast images, a large percentage of macro blocks are “skipped”, that is, no coded data are transmitted for these macro blocks. By estimating and identifying macro blocks to be skipped during the coding process, significant savings in computation can be realized, since the coder then does not evaluate the ratedistortion costs of all candidate coding modes. The proposed scheme shows that this approach can result in a time savings of over 80% for low contrast images at a negligible decrease or, in certain cases, a slight increase in quality over a reference codec.
关键词：Context-Based Adaptive Variable Length Coding (CBAVLC); Macro Blocks (MB); Low-contrast images