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基于Matlab的灰度图像DCT与RLE的混合有损压缩
引用本文:朱玲芳,刘任任.基于Matlab的灰度图像DCT与RLE的混合有损压缩[J].数字社区&智能家居,2009(21).
作者姓名:朱玲芳  刘任任
作者单位:湘潭大学信息工程学院;
摘    要:分别介绍了图像压缩编码技术DCT和RLE,并在Matlab数学分析工具环境下从实验角度出发较直观的探讨了基于DCT与RLE混合有损压缩方法在灰度图像压缩中的应用,数值实验结果表明该方法具有方法简单、速度快、误差小的优点,且大大提高了图像压缩的效率和精度。

关 键 词:图象压缩  DCT  RLE  Matlab  

DCT and RLE Mixed Lossy Compression of Gray Image Based on Matlab
ZHU Ling-fang,LIU Ren-ren.DCT and RLE Mixed Lossy Compression of Gray Image Based on Matlab[J].Digital Community & Smart Home,2009(21).
Authors:ZHU Ling-fang  LIU Ren-ren
Affiliation:Colleges of Information Engineering;Xiangtan University;Xiangtan 411105;China
Abstract:Image compression coding technique of DCT and RLE is introduced respectively in this paper. Moreover DCT and RLE mixed lossy compression mothod is intuitively discussed on the application of gray image compression, which based on the experiment in the environment of mathematical analysis tools of Matlab. The result of numerical experiment shows that this method not only has the advantages such as simple, fast speed and small errors, but also can further to improve the efficiency and precision of image compr...
Keywords:image compression  DCT  RLE  Matlab  
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