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  • 标题:Evolutionary Standards in Image Compression along with Comparative Analysis of their performance
  • 本地全文:下载
  • 作者:Dipti Bhatnagar ; Sumit Budhiraja
  • 期刊名称:International Journal of Electronics and Computer Science Engineering
  • 电子版ISSN:2277-1956
  • 出版年度:2012
  • 卷号:1
  • 期号:2
  • 页码:326-332
  • 出版社:Buldanshahr : IJECSE
  • 摘要:Image compression has developed as full fledged field from past many years because of rapidly growing entertainment market and unparalleled increase in the use of internet services for storage transmission and processing of multimedia data. Data compression techniques are primarily divided into two categories, lossless and lossy. The lossy technique is most widely accepted because it allows high compression rates with tolerable distortion. This paper presented a review of all the image compression standards for lossy image compression that has been established since beginning to more recent along with their comparative performance analysis which helps us to know the reason for this evolutionary change. Also it gives information about the new advancements introduced to a particular standard in order to improve its performance. This paper will help a lot to those who want to know about all image compression standards from the beginning, starting as a layman. Image Compression is important field as images form a considerable portion of today's data dealt by machines and humans
  • 关键词:Compressive Sensing; Contourlet Transform; Slepian Wolf Coding (SW); Wavelet Transform (WT) .
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