DocumentCode :
3220348
Title :
Impulse noise removal using fuzzy logic and alpha-trimmed mean
Author :
Hussain, Ayyaz ; Javaid, Qaisar ; Siddique, Mohammad
Author_Institution :
Dept. of Comput. Sci., Int. Islamic Univ., Islamabad, Pakistan
fYear :
2011
fDate :
16-18 Nov. 2011
Firstpage :
216
Lastpage :
220
Abstract :
In this paper, fuzzy logic and alpha-trimmed mean based filter has been proposed for the smooth out uniform impulse noise from corrupted gray-scale images. The proposed method employs the concept of alpha-trimmed mean in combination with fuzzy logic to avoid the outlier effect. Alpha-trimmed mean and median values play an important role to formulate the fuzzy membership function. This function is then finally used to compute the estimated value of the noisy pixel. Experimental results demonstrates that the technique presented in this paper gives better performance than the other impulse noise removal techniques based on well known performance measure namely peak-signal-to-noise-ratio (PSNR) and structural similarity index measure (SSIM).
Keywords :
filtering theory; fuzzy logic; image colour analysis; image restoration; impulse noise; alpha-trimmed mean based filter; corrupted gray-scale images; fuzzy logic; fuzzy membership function; image restoration; impulse noise removal; median values; Computer science; Conferences; Image processing; Speech; Speech processing; Alpha-trimmed mean; Fuzzy filter; image restoration; uniform impulse noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4577-0243-3
Type :
conf
DOI :
10.1109/ICSIPA.2011.6144066
Filename :
6144066
Link To Document :
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