%0 Journal Article
%T Operator-based image decomposition<br>基于算子的图像分解
%A Li Feng
%A Zeng Xiaohui
%A Chen Shengxia
%A Shen Yujuan
%A <br>李峰
%A 曾晓辉
%A 陈盛霞
%A 沈玉娟
%J 中国图象图形学报
%D 2013
%I 
%X In recent years there has been a great interest in the study of morphological decomposition of image into cartoon and texture, and its hierarchical decomposition. The existing algorithms suffer from high computational complexity and are not very well suited for decomposing images hierarchically. We propose an operator-based image decomposition method, in which a local linear singular operator characterizes the texture component and the residual signal is treated as a cartoon component. With proper changes to the adaptive parameter, it can decompose the image hierarchically through the decomposition of the residual signal. The adaptive parameter is determined according to the change rate of local total variation. The experimental results demonstrate that this method is effective and shows better visual effects.
%K integral operator
%K differential operator
%K image decomposition
%K cartoon texture
%K hierarchical decomposition<br>积分算子
%K 微分算子
%K 图像分解
%K 卡通纹理
%K 层级分解
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AE8DAD4245F3E9A98E8A5680FD4AF232&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=CA4FD0336C81A37A&sid=7AA74D31F1FF2DCE&eid=08805F9252973BA4&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13