Based on local structural similarity image denoising algorithm

DOI

10.2991/iccia.2012.215How to use a DOI?

Keywords

local, structural similarity, image denoising

Abstract

The image is a kind of important information source, through the image processing can help people understand the connotation of the information. However, the image in the process of generation and transmission by all kinds of the noise, the information processing, transfer and storage caused tremendous influence. So the image denoising always all is the computer image processing and computer in the vision of a research focus. Proposed an algorithm of image denoising based on the local structural similarity. Which utilizes the redundant information, and by establishing a similar function to the search area calculation of point and to pixels similarity of weights, and then to the search area at the weighted, obtained the last to pixels gray value varies. This algorithm in texture, of the edge information denoising ways than the current many denoising algorithm are excellent.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Zehua Zhou
AU  - Weitang Zhang
PY  - 2014/05
DA  - 2014/05
TI  - Based on local structural similarity image denoising algorithm
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 882
EP  - 885
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.215
DO  - 10.2991/iccia.2012.215
ID  - Zhou2014/05
ER  -