计算机工程2017，Vol.43Issue(4)：269-276,8.DOI:10.3969/j.issn.1000-3428.2017.04.046
基于局部结构张量的图像三边滤波器
Image Trilateral Filter Based on Local Structure Tensor
摘要
Abstract
The intensity similarity weight function adopted in bilateral filter is subjected to the influence of image noise.Moreover,this filter causes blindness in dealing with image details.To overcome the above drawbacks,this paper proposes a novel trilateral filter for filtering Gaussian noise.It uses Singular Value Decomposition(SVD) to estimate the geometry structure information of the image,and constructs feature information which can describe the difference of image contents.On this basis,it designs intensity similarity weight function based on the image feature classification and incorporates the structure feature into the bilateral filter framework by introducing the structure similarity weight to preserve more image details.It uses the trilateral weighting approach to provide more reliable similarity measurement between the target pixel and its neighbors.Finally,it uses the local adaptive filtering parameter choosing method for better performance.Experimental results show that the proposed filter can obtain better filtering results when preserving image edges and textures well.关键词
图像去噪/三边滤波/局部结构张量/奇异值分解/图像结构特征/相似性度量Key words
image denoising/trilateral filtering/local structure tensor/Singular Value Decomposition(SVD)/image structure feature/similarity measurement分类
信息技术与安全科学引用本文复制引用
许光宇,林玉娥,石文兵..基于局部结构张量的图像三边滤波器[J].计算机工程,2017,43(4):269-276,8.基金项目
国家自然科学基金(61471004) （61471004）
安徽理工大学博士基金(ZX942). （ZX942）
