Nonconvex Rician noise removal via convergent plug-and-play framework

Deliang Wei, Shiyang Weng, Fang Li

Abstract: Highlights•We propose a new plug-and-play deep neural network method to remove Rician noise.•We prove some mathematical properties and the convergence of the proposed method.•Experimental results show that the proposed method outperforms existing methods.

External IDs:doi:10.1016/j.apm.2023.06.033