Anisotropic Diffusion Based on Directional Consistency

摘要：

A novel image anisotropic diffusion algorithm is proposed. As noise was more likely to be random, directional gray level consistency gives a feasible discrimination between noise and image structure. Firstly, a measurement of directional consistency was defined. Then, this consistency was transformed into diffusion weight, and diffusivity of different directions was computed from gradient and diffusion weight. At last, anisotropic diffusion was realized based on this directional different diffusivity. Some typical image diffusion algorithms were compared with proposed algorithm. Experimental results on both synthetic and real image with hybrid noise show the efficiency of proposed algorithm.

关键词： image denoising PDE anisotropic diffusion directional consistency feature preservation

作者: WANG Zhiming BAO Hong ZHANG Li

作者单位: School of Information University of Science and Technology Beijing Beijing, China,100083 School of Information University of Science and Technology Beijing Beijing,China, 100083 Department of Engineering Physics Tsinghua University Beijing,China,100084

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 521-525

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）