Improved Algorithm of BM3D Image Denoising Based on Rotating Block

Home > Archive>Volume 44, Issue 22, 2021 >108-113

Improved Algorithm of BM3D Image Denoising Based on Rotating Block
DOI:
                        
                    
CSTR:
                        [cstr]
                    
Author:
                        Yang Liangjian1Yang Liangjian
Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Zhou XianchunZhou Xianchun
1. Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China；2.Atmospheric environment and equipment technology of collaborative innovation center，Nanjing 210044，China； 3.Nanjing university of information science and technology，Institute of artificial intelligence，Nanjing 210044，China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Cui Chengcheng1Cui Chengcheng
Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Li Meng1Li Meng
Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site
Zan Mingyuan1Zan Mingyuan
Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China
Find this author on All Journals
Find this author on BaiDu
Search for this author on this site

                    
Affiliation:1. Nanjing university of information science and technology，Electronics and information engineering college，Nanjing 210044，China;2.Atmospheric environment and equipment technology of collaborative innovation center，Nanjing 210044，China; 3.Nanjing university of information science and technology，Institute of artificial intelligence，Nanjing 210044，China
Clc Number:TP391.41
Fund Project:

Article

Figures

Metrics

Reference

Cited by

Materials

Comments

Abstract:

To address the problems of large similar block matching errors and insufficient protection of image details in the classical BM3D denoising algorithm, an improved BM3D image denoising algorithm based on rotated blocks is proposed. The new algorithm firstly rotates the reference block at different angles to obtain the rotating block, and then performs the similar block matching process through the rotating block; then uses low-rank regularization to replace the hard threshold filtering in the traditional algorithm; finally, the BM3D algorithm combining rotated block matching and low-rank regularization is adaptively adjusted to improve the denoising effect in uniform image regions. Experimental results show that the new algorithm has a higher matching degree of similar blocks, and the peak signal to noise ratio (PSNR) is improved by 0.5dB on average compared with the classical algorithm, effectively preserving image edges and texture details.

Key words:BM3D ; Rotate block matching ;Low-rank regularization ;Adaptation

Get Citation

Copy

Article Metrics

Abstract:
PDF:
HTML:
Cited by:

History

Received:
Revised:
Adopted:
Online: July 04,2024
Published:

Home

Introduction

Editorial Committee

Policy

Contact Us

中文版

Get Citation

Share

Article Metrics

History

Article QR Code