期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2013
卷号：6
期号：2
出版社：SERSC
摘要：In the past decades, many nonlinear partial differential equation (PDE) based denosing methods have been suggested, among which the curvature-preserving PDE image denosing method is one of the outstanding models. To effectively preserve image edge well, a tensor driven linear integral convolutions based Image Denosing Method is proposed, which employ total variation flow based nonlinear structure tensor to analysis different integral curve. It is a new implementation of our former work [10]. Experimental results show that the new method can achieve better denosing results in a variety of standard test images, and the new approach shows superior performance on edge and curvature preserving face image and texture image.
关键词：Image denoising; Structure Tensor; Linear Integral Convolution
