A New Method for Nonlocal Means Image Denoising Using Multiple Images.

The basic principle of nonlocal means is to denoise a pixel using the weighted average of the neighbourhood pixels, while the weight is decided by the similarity of these pixels. The key issue of the nonlocal means method is how to select similar patches and design the weight of them. There are two...

Full description

Bibliographic Details
Main Authors: Xingzheng Wang, Haoqian Wang, Jiangfeng Yang, Yongbing Zhang
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2016-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4961432?pdf=render
_version_ 1818480526704508928
author Xingzheng Wang
Haoqian Wang
Jiangfeng Yang
Yongbing Zhang
author_facet Xingzheng Wang
Haoqian Wang
Jiangfeng Yang
Yongbing Zhang
author_sort Xingzheng Wang
collection DOAJ
description The basic principle of nonlocal means is to denoise a pixel using the weighted average of the neighbourhood pixels, while the weight is decided by the similarity of these pixels. The key issue of the nonlocal means method is how to select similar patches and design the weight of them. There are two main contributions of this paper: The first contribution is that we use two images to denoise the pixel. These two noised images are with the same noise deviation. Instead of using only one image, we calculate the weight from two noised images. After the first denoising process, we get a pre-denoised image and a residual image. The second contribution is combining the nonlocal property between residual image and pre-denoised image. The improved nonlocal means method pays more attention on the similarity than the original one, which turns out to be very effective in eliminating gaussian noise. Experimental results with simulated data are provided.
first_indexed 2024-12-10T11:24:51Z
format Article
id doaj.art-676fbbf14dc14e689aac4a38607c3849
institution Directory Open Access Journal
issn 1932-6203
language English
last_indexed 2024-12-10T11:24:51Z
publishDate 2016-01-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS ONE
spelling doaj.art-676fbbf14dc14e689aac4a38607c38492022-12-22T01:50:47ZengPublic Library of Science (PLoS)PLoS ONE1932-62032016-01-01117e015866410.1371/journal.pone.0158664A New Method for Nonlocal Means Image Denoising Using Multiple Images.Xingzheng WangHaoqian WangJiangfeng YangYongbing ZhangThe basic principle of nonlocal means is to denoise a pixel using the weighted average of the neighbourhood pixels, while the weight is decided by the similarity of these pixels. The key issue of the nonlocal means method is how to select similar patches and design the weight of them. There are two main contributions of this paper: The first contribution is that we use two images to denoise the pixel. These two noised images are with the same noise deviation. Instead of using only one image, we calculate the weight from two noised images. After the first denoising process, we get a pre-denoised image and a residual image. The second contribution is combining the nonlocal property between residual image and pre-denoised image. The improved nonlocal means method pays more attention on the similarity than the original one, which turns out to be very effective in eliminating gaussian noise. Experimental results with simulated data are provided.http://europepmc.org/articles/PMC4961432?pdf=render
spellingShingle Xingzheng Wang
Haoqian Wang
Jiangfeng Yang
Yongbing Zhang
A New Method for Nonlocal Means Image Denoising Using Multiple Images.
PLoS ONE
title A New Method for Nonlocal Means Image Denoising Using Multiple Images.
title_full A New Method for Nonlocal Means Image Denoising Using Multiple Images.
title_fullStr A New Method for Nonlocal Means Image Denoising Using Multiple Images.
title_full_unstemmed A New Method for Nonlocal Means Image Denoising Using Multiple Images.
title_short A New Method for Nonlocal Means Image Denoising Using Multiple Images.
title_sort new method for nonlocal means image denoising using multiple images
url http://europepmc.org/articles/PMC4961432?pdf=render
work_keys_str_mv AT xingzhengwang anewmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT haoqianwang anewmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT jiangfengyang anewmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT yongbingzhang anewmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT xingzhengwang newmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT haoqianwang newmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT jiangfengyang newmethodfornonlocalmeansimagedenoisingusingmultipleimages
AT yongbingzhang newmethodfornonlocalmeansimagedenoisingusingmultipleimages