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  • 标题:Sparse Transform Matrix at Low Complexity for Color Image Compression
  • 本地全文:下载
  • 作者:Dr. K. Kuppusamy ; R.Mehala
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2013
  • 卷号:4
  • 期号:6-1
  • 出版社:Seventh Sense Research Group
  • 摘要:Image Processing is a powerful era of the Modern Digital Technology. Compression is a process of minimizing the size in bytes of a graphics file without degrading the quality of the image to an unacceptable level. In this paper, we have discusses about Digital Image Compression for the good performance complexity of still imagery and the comparative study of several algorithms. In future we are going to propose a new plan to provide a reduction in computation over the sparse matrix and using the various test images for the entropy coding and quality scalability is enabled by simply truncating the generated bit rate distortion performance.
  • 关键词:image compression; sparse matrix; entropy coding; quality scalability; bit rate etc
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