Image De-noising Based on a Local Optimal Balance between Data Fidelity and Output Smoothness

Abstract

This paper addresses image denoising problem based on minimization of an appropriate energy function. This energy function consists of data fidelity term and targeted smoothness term. In this paper, a local optimal balance between these two terms is considered. This strategy leads to image invariant denoising and also preserves edges simultaneously. Experimental results verify the performance of this approach.