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首页> 外文期刊>International Journal of Image Processing >Lossless Grey-scale Image Compression Using Source Symbols Reduction and Huffman Coding
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Lossless Grey-scale Image Compression Using Source Symbols Reduction and Huffman Coding

机译:使用源符号减少和霍夫曼编码的无损灰度图像压缩

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摘要

Usage of Images have been increased and used in many applications. Image compression plays vital role in saving storage space and saving time while sending images over network. A new compression technique has been proposed to achieve more compression ratio by reducing number of source symbols. The source symbols are reduced by applying source symbols reduction and further the Huffman Coding is applied to achieve compression. The source symbols reduction technique reduces the number of source symbols by combining together to form a new symbol. Thus the number of Huffman Code to be generated also reduced. The Huffman code symbols reduction achieves better compression ratio. The experiment has been conducted using the proposed technique and the Huffman Coding on standard images. The experiment result has been analyzed and the result shows that the newly proposed compression technique achieves 10% more compression ratio than the regular Huffman Coding.
机译:图像的使用已增加,并在许多应用程序中使用。在通过网络发送图像时,图像压缩在节省存储空间和节省时间方面起着至关重要的作用。已经提出了一种新的压缩技术,以通过减少源符号的数量来实现更高的压缩率。通过应用源符号减少来减少源符号,并且进一步应用霍夫曼编码来实现压缩。源符号减少技术通过组合在一起以形成新符号来减少源符号的数量。因此,要生成的霍夫曼码的数量也减少了。霍夫曼码符号的减少实现了更好的压缩率。实验是使用建议的技术和霍夫曼编码对标准图像进行的。对实验结果进行了分析,结果表明,新提出的压缩技术比常规霍夫曼编码的压缩率提高了10%。

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