Adaptive Algorithm in Image Denoising Based on Data Mining

DOI

10.2991/jcis.2008.37How to use a DOI?

Keywords

Data mining, Image denoising, Pepper-and-Salt Noise, Noisy density, Adaptive filtering

Abstract

An adaptive filtering algorithm based on data mining is proposed for image de-noising when an image is merged by pep-per-and-salt noise. It can adjust the rotat-ing mask size based on the noisy density in the input image so that it raises greatly the computing speed; On the other hand, the algorithm can determine the mask co-efficients based on the noise case so that it reduces largely the error rat; And then it is more effective than other methods when the image has a higher noisy den-sity. Experimental results indicate that the adaptive filtering is superior.

Copyright

© 2008, 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/).

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TY  - CONF
AU  - Yan-hua Ma
AU  - Chuan-jun Liu
PY  - 2008/12
DA  - 2008/12
TI  - Adaptive Algorithm in Image Denoising Based on Data Mining
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 215
EP  - 220
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.37
DO  - 10.2991/jcis.2008.37
ID  - Ma2008/12
ER  -