Total Variational Denoising Using Improved Adaptive Fidelity Term

摘要：

　　Denoising is an important part of digital image processing.Adaptive Fidelity term Total Variation (AFTV)method can effectively remove the noise and can preserve the edge and detail information of the image.However, noise variance should be given in the method, and the mothed is sensitive to noise, which will lead to unsatisfactory denoising results in edges of image.Therefore, an improved Adaptive Fidelity Total Variation algorithm is proposed.The method first uses the local variance of the noise image to initially estimate the confidence parameters, then the optimized parameters are obtained with anisotropic convolution.The experiments with several images demonstrate that the proposed method is superior to AFTV method at different noise levels.

关键词： image denoising total variational model adaptive fidelity term local power

作者: Huang Wei Wang Chen Bu Min

作者单位: School of Information and Communication Engineering,Shanghai University 149 Yanchang Road,Shanghai,China

会议类型: 国际会议

会议名称: 2013 IEEE 11th International Conference on Electronic Measurement & Instruments(第十一届IEEE国际电子测量与仪器学术会议)

会议地点: 哈尔滨

会议语种:英文

页码: 820-824

在线出版日期: 2013-08-16（万方平台首次上网日期，不代表论文的发表时间）