Non-local Means Image Denoising Algorithm of Improved Weighting Function

Abstract

In order to solve inflexible rotation and translation in measuring neighborhood similarity for structural characteristics in Non-local Means(NLM) denoising method,this paper presents the NLM image denoising algorithm based on Normalized Moment of Inertia(NMI).The normalized moment of inertia as a part of the similar weight is proposed to balance neighborhood patches’ similarity.Experimental results show that compared with the original nonlocal mean denoising algorithm,this algorithm can keep the detail of the image structure information preferably,and can improve the Peak Signal to Noise Ratio(PSNR) and structural similarity.Especially,when the noise intensity increases,the algorithm improves the PSNR by 1.03 dB and the structure similarity index by 0.04.