Title :
A morphology filter to impulse noise based on adaptive optimizing the values of structure element
Author :
Xiuli, Wang ; YiMin, Nan
Author_Institution :
Dept. of Commun., Guangzhou Civil Aviation Coll. (GCAC, Guangzhou, China
Abstract :
This paper brings forward a new mathematical morphology method for impulse noise filtering. At first, it detects the impulse noises and selecting different morphological operators, and then adaptive optimizes the values of the structure element based on the pixels within the filtering window. Caring out formulations, the proposed method is lower in blurring the edge and higher in filtering effect.
Keywords :
image denoising; impulse noise; nonlinear filters; optimisation; adaptive optimization; filtering window; image blurring; impulse noise filtering; mathematical morphology; morphology filter; Morphology; Noise; impulse noise filtering; mathematical morphology; signal to noise ratio (PSNR); the values of the structure element;
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6539-2
DOI :
10.1109/ICACTE.2010.5579486