The Convex Relaxation Method on Deconvolution Model with Multiplicative Noise

Authors

  • Yumei Huang, Michael Ng & Tieyong Zeng

DOI:

https://doi.org/10.4208/cicp.310811.090312a

Abstract

In this paper, we consider variational approaches to handle the multiplicative noise removal and deblurring problem. Based on rather reasonable physical blurring-noisy assumptions, we derive a new variational model for this issue. After the study of the basic properties, we propose to approximate it by a convex relaxation model which is a balance between the previous non-convex model and a convex model. The relaxed model is solved by an alternating minimization approach. Numerical examples are presented to illustrate the effectiveness and efficiency of the proposed method.

Published

2013-08-05

Issue

Section

Articles