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| 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 |
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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.
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Received: 27 October 2004
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2006, Vol. 19 
