%0 Journal Article
%T New SVD image compression algorithm based on salient object detection<br>一种基于感兴趣区域提取的新型SVD图像压缩算法
%A LV Liang-fu
%A ZHANG Jia-wan
%A BIN Li-han
%A SUN Ji-zhou
%A <br>吕良福
%A 张加万
%A 宾理涵
%A 孙济洲
%J 计算机应用
%D 2009
%I 
%X A new image-coding algorithm (SODSVD) that combined the standard Singular Value Decomposition (SVD) algorithm and the salient object detection technique was proposed. During encoding the images, the salient object detection was used to split the source image into adaptive smaller blocks based on the complexity and visual attention, while smaller blocks were transformed by use of SVD. A simple strategy was proposed to split the source images. Simulation results show that the new algorithm provides good distortion, bit rate and image quality.
%K salient object detection
%K singular value decomposition
%K image compression<br>感兴趣区域提取
%K 奇异值分解
%K 图像压缩
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=39CA0D2FBD010A57E22DB95CC637A8DE&yid=DE12191FBD62783C&vid=771469D9D58C34FF&iid=CA4FD0336C81A37A&sid=ECE8E54D6034F642&eid=1AE5323881A5ECDC&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=13