A new reweight scheme for bilateral and non-local means approach for image denoising

Abstract

Additive noise removal from a given image is an important task in digital image processing for which denoising algorithms are used. The goal of any denoising algorithm is to attenuate the noise properly and to preserve the useful content of an image. Although various denoising algorithms have been proposed to remove noise but there is still scope of improvement. The main focus of this paper is, first, analyze the basic denoising approaches and to compare them, second, to study post-stage filtering technique using method noise and reweight schemes. In this case study, we observe through our experiments that the post-filtering techniques have more potential to attenuate the noise properly, which is left by the initially applied denoising approach. The denoising performance of all considered methods is compared using two parameters: PSNR and MSSIM.