P-M Diffusion for Image Denoise with the Fidelity Term

摘要：

Diffusion has received a lot of attention and has experienced significant developments, it can simultaneously enhance, sharpen and denoise image. The diffusion coefficient is locally adjust according to image features such as edges, textures, and moments, so it has many formats diffusion process according to the set of gradient. Suck as P-M diffusion and total variation. The aim of the present paper is to study the total variation then replace the smoothed intensity function with the P-M diffusion function and derive the fidelity term to get a novel nonlinear anisotropic P-M diffusion. And then deduce the new diffusion application in discrete two dimension space for image denoise. The results of experiments demonstrate the novel P-M diffusion denoise the image and retain the details more effective than traditional P-M diffusion.

关键词： P-M diffusion TV model Fidelity term Image denoise

作者: Pingxian Yang Mingju Chen Wangjing

作者单位: Dcpt.of Electronic Information and Automation. Sichuan University of Science&Engineering.Zigong, Sichuan 643000,P.R.China

会议类型: 国际会议

会议名称: Third International Conference on Digital Image Processing(ICDIP 2011)(第三届数字图像处理国际会议)

会议地点: 成都

会议语种:英文

页码: 560-564

在线出版日期: 2011-04-15（万方平台首次上网日期，不代表论文的发表时间）