DocumentCode :
2474978
Title :
An improved two-dimensional multi-level median filtering algorithm
Author :
Kuang, Ping ; Sun, Lei
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2010
fDate :
17-19 Dec. 2010
Firstpage :
359
Lastpage :
362
Abstract :
The traditional 2-D MLM is often used to protecting images´ details, but the algorithm is weak when it is used to suppress image noise particularly image noise with rich details. In order to prove this problem, this paper proposes an improved 2-D MMF algorithm which the number of basic sub-windows is 6 while the number of basic sub-windows is 4 in the traditional 2-D MLM, make sure every pixel can contribute to median value. After done a series of experiments using a set of rich details´ fingerprint images in this paper, the results conducted that the ability to protect details in this algorithm almost equal to the traditional two-dimensional multi-level median filter, but the ability to suppress noise in this algorithm is much better than in the traditional one.
Keywords :
fingerprint identification; image denoising; interference suppression; median filters; 2-D MLM; 2-D MMF algorithm; 2d multilevel median filtering; fingerprint images; image protection; noise suppression; Filtering algorithms; Maximum likelihood detection; Nonlinear filters; PSNR; Pixel; Median; basic sub-window; filtering window; median filter; multi-level median filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
Type :
conf
DOI :
10.1109/ICACIA.2010.5709919
Filename :
5709919
Link To Document :
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