A Mixture Curvature Flow Model for Image Noise Removal
WANG HongYuan1, SHI ChengXian1,2, XIA DeShen2
1.Department of Computer, Jingsu Polytechnic University, Changzhou 213164 2.Department of Computer, Nanjing University of Science and Technology, Nanjing 210094
Abstract：Image denoise is a preliminary process in image processing with PDE based approach being a hot topic in this field in recent years. Through analyzing the performance of curve evolution equation with the theory of geometry and anisotropic diffusion, a improved curve evolution modelmixture curvature flow model for image noise removal is proposed in this paper. To improve performance, edge information is introduced and a new geometry flow is constructed in this model. The experimental results show the model has advantages over other filterings in image noise removal.
王洪元，石澄贤，夏德深. 一种混合曲率流图像除噪方法[J]. 模式识别与人工智能, 2006, 19(3): 422-427.
WANG HongYuan, SHI ChengXian, XIA DeShen. A Mixture Curvature Flow Model for Image Noise Removal. , 2006, 19(3): 422-427.
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2006, Vol. 19 
