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Optimizing the Pictorial Compacted Data Detection Process for Working at the Noisy Environment, Using Reversible Symmetrical Codes

机译:优化用于使用可逆对称代码在嘈杂环境下工作的图案压缩数据检测过程

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variable-length codes, using source statistical features, improve the encoding. However, using these codes can results in error propagation in bit string transmitted to noisy transmission environments. This paper has used reversible symmetrical codes in the bit string obtained from J-PEG compressor in order to overcome this problem. several examples of reversible code design algorithm have been reviewed and a symmetrical code based on Huffman code has been analyzed and deigned for JPEG compressor Jpeg compressor has been simulated by Huffman standard code and by reversible symmetrical code and the amount of their compression has been compared for several pictures Also, optimization of detection trend in noisy condition has been displayed.
机译:可变长度代码,使用源统计功能,提高编码。但是,使用这些代码可以导致位字符串中传输到嘈杂传输环境的错误传播。本文使用了从J-PEG压缩机获得的位串中的可逆对称代码,以克服此问题。已经过审查了可逆代码设计算法的几个例子,并且已经分析了基于Huffman代码的对称代码,并针对JPEG压缩机JPEG压缩机进行了分析并通过霍夫曼标准代码和可逆的对称代码进行了模拟,并将其压缩量进行了比较还显示了几张照片,已经显示了嘈杂情况下的检测趋势的优化。

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