%0 Journal Article
%T Near-Lossless Image Compression Based on Lossless Regions of Interest(ROI)<br>基于感兴趣区的图象近无损压缩
%A WU Li fang
%A SHEN Lan shun
%A ZHANG Xiao ling
%A <br>毋立芳
%A 沈兰荪
%J 中国图象图形学报
%D 2001
%I 
%X Image compression based on Lossless Region of Interest (ROI) means to compress interesting regions in an image without loss, and to compress uninteresting regions with a little loss. Based on this idea a high compression ratio can be obtained and the important information can be preserved losslessly. In this paper, the near lossless image compression is implemented, based on Integer Wavelet Transform(IWT) and embed zero tree coding scheme. In addition, the tree mapping shape coding scheme is proposed. In this paper the IWT and embed zero tree coding scheme are introduced simply, then the tree mapping shape coding algorithm are presented in detail, finally the experimental results are presented and compared with the results of lossless compression. Experimental results represent that the algorithm can obtain much higher compression ratio than lossless compression algorithms, but the improvement of compression ratio is related to the size of ROI and quality of uninteresting regions.
%K Regions of Interest(ROI)
%K Tree Mapping shape coding
%K Integer Wavelet Transform(IWT)
%K Zero
%K tree coding<br>感兴趣区
%K 树映射形状编码
%K 整形小波变换
%K 零树编码
%K 图象压缩
%K 无损压缩
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=4933D3B4D914371D&yid=14E7EF987E4155E6&vid=B31275AF3241DB2D&iid=B31275AF3241DB2D&sid=652E7E360EBE3082&eid=640CCB6E396307A8&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=1&reference_num=7