Title: Research on image denoising algorithm based on non-local block matching

Authors: Ying Yang; Dongrui Li; Xiaofeng Huang

Addresses: School of Computer, Guangdong AIB Polytechnic College, Guangzhou, Guangdong, 510507, China ' School of Computer, Guangdong AIB Polytechnic College, Guangzhou, Guangdong, 510507, China ' School of Computer, Guangdong AIB Polytechnic College, Guangzhou, Guangdong, 510507, China

Abstract: In order to study how to better suppress image noise, improve image resolution, and enhance the visual effect of images, three-dimensional joint filtering – block matching (BM3D) algorithm is used to explore image denoising and image detail retention, and in image denoising, sparse expression and low rank recovery theory are introduced. The results show that BM3D algorithm has a good effect in removing Gaussian white noise, but it is lacking in suppressing impulse noise and mixed noise. The non-local BM3D algorithm is superior to sparse expression and low rank recovery in removing Gaussian white noise, but sparse expression and low rank recovery has a good effect in removing impulse noise.

Keywords: non-local block matching; image denoising; BM3D; sparse expression; low rank recovery.

DOI: 10.1504/IJICT.2020.106317

International Journal of Information and Communication Technology, 2020 Vol.16 No.3, pp.245 - 260

Received: 16 Feb 2019
Accepted: 05 Mar 2019

Published online: 02 Apr 2020 *

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