A Nonlinear Inverse Scale Space Method for Multiplicative Noise Removal Based on Weberized Total Variation

摘要：

Multiplicative noise removal has been drawn a greatly attention recently. Firstly, this paper proposes a new non-convex variational model for multiplicative noise removal under the Weberized TV regularization framework. Then we propose and study another surrogate strictly convex objective functional for Weberized TV regularization based multiplicative noise removal model. Finally, we adopt the recently proposed inverse scale space approach to estimate the underlying image under total variation (TV)regularization, in which a relaxation technique with two evolution equations is applied. Our experimental results show that the quality of images denoised is quite good and the detail information of restored images is well preserved by the proposed algorithm.

关键词： image denoising multiplicative noise Weberized TV inverse scale space

作者: Lili Huang Liang Xiao Zhihui Wei

作者单位: School of Computer Science and Technology, Nanjing University of Science and Technology Nanjing, Chi School of Computer Science and Technology, Nanjing University of Science and Technology Nanjing, Chi

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 119-123

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）