Academy of Mathematics and Systems Science, CAS
Colloquia & Seminars

Speaker:	黄玉梅教授，兰州大学数学与统计学院
Inviter:	白中治研究员
Title:	Methods for Multiplicative Noise Removal
Time & Venue:	2022.09.17 11:00—12:00 腾讯会议：331-973-588
Abstract:	Multiplicative noise removal is a challenging image processing problem. In this talk, we consider the methods for image multiplicative noise removal. The maximum a posteriori formulation based methods and the logarithmic transformation of multiplicative denoising problems into additive denoising problems are important methods for multiplicative noise removal. Sparse representations of images have shown to be efficient approaches for image recovery. Following this idea, we proposed to learn a dictionary from the logarithmic transformed image, and then to use it in a variational model built for noise removal. In addition, we also proposed the low rank minimization algorithm to remove multiplicative noise in images. Extensive experimental results suggest that the proposed algorithm outperforms state-of-the-art methods.