DocumentCode :
2872552
Title :
A new kind of adaptive weighted median filter algorithm
Author :
Wang, Chang-Yo ; Fu-ping, Yang ; Li Lin-lin ; Hui, Gong
Author_Institution :
Coll. of Comput. Sci. & Technol., Chongqing Univ. of Posts & Telecommun., Chongqing, China
Volume :
11
fYear :
2010
fDate :
22-24 Oct. 2010
Abstract :
Aimed at the excellence and shortcoming of the standard median filtering algorithm and the adaptive median filtering algorithm as well as center weighted median filtering algorithm, a new adaptive weighted median filtering algorithm is proposed in this paper. The new algorithm first takes a decision whether the pixel under test is noise or not by comparing the block uniformity of the 3×3 window with one of the entire image, then adjusts the size of filtering window adaptively according to the number of noise points in the window. Finally the noise is removed by means of ameliorated median filtering algorithm. Experimental results clearly indicate that the proposed method has a better filtering effect than the existing methods such as standard median filter, adaptive median filter in terms of visual quality and quantitative measures.
Keywords :
adaptive filters; image denoising; image restoration; median filters; adaptive weighted median filter algorithm; ameliorated median filtering algorithm; block uniformity; center weighted median filtering algorithm; noise points; visual quality; Adaptive filters; Digital filters; Filtering algorithms; PSNR; Pixel; Adaptive weighted; Block uniformity; Image restoration; Median filter; Noise Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-7235-2
Electronic_ISBN :
978-1-4244-7237-6
Type :
conf
DOI :
10.1109/ICCASM.2010.5623118
Filename :
5623118
Link To Document :
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