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  • 标题:Image Compression Using Harmony Search Algorithm
  • 本地全文:下载
  • 作者:Ryan Rey M. Daga ; John Paul T. Yusiong
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2012
  • 卷号:9
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:Image compression techniques are important and useful in data storage and image transmission through the Internet. These techniques eliminate redundant information in an image which minimizes the physical space requirement of the image. Numerous types of image compression algorithms have been developed but the resulting image is still less than the optimal. The Harmony search algorithm (HSA), a meta-heuristic optimization algorithm inspired by the music improvisation process of musicians, was applied as the underlying algorithm for image compression. Experiment results show that it is feasible to use the harmony search algorithm as an algorithm for image compression. The HSA-based image compression technique was able to compress colored and grayscale images with minimal visual information loss.
  • 关键词:Harmony Search Algorithm; Meta;heuristics; Image; Image Compression; RGB; PSNR
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