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RLE图像压缩算法优化研究与应用
引用本文:郑静,王腾.RLE图像压缩算法优化研究与应用[J].数字社区&智能家居,2014(9):5981-5984.
作者姓名:郑静  王腾
作者单位:长江大学文理学院,湖北荆州434020
摘    要:该文对比了传统的RLE(游程编码)算法,通过对RLE压缩编码的分析,得出RLE压缩算法存在很大的优化空间,并实现了优化后的RLE图像压缩算法,且着重介绍了这种算法的优缺点和优化方向。

关 键 词:RLE算法  图像压缩算法  算法优化

RLE Image Compression Algorithm Optimization Research and Application
ZHENG Jing,WANG Teng.RLE Image Compression Algorithm Optimization Research and Application[J].Digital Community & Smart Home,2014(9):5981-5984.
Authors:ZHENG Jing  WANG Teng
Affiliation:(Yangtze University college of arts and sciences, Jingzhou, Hubei 434020, China)
Abstract:Compared to the traditional RLE algorithm, through analysis on compression coding of RLE, the optimization space RLE compression algorithms exist, follow RLE image compression algorithm to achieve the optimized, and emphatically introduces the advantages and disadvantages of this algorithm and optimization direction.
Keywords:RLE  image compression algorithm  algorithm optimization
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