DocumentCode :
672587
Title :
Robust outliers exclusion for high density impulse noise suppression algorithm
Author :
Hussain, Syed Asad ; Gorashi, Sami M.
Author_Institution :
Electr. & Electron. Eng. Dept., OIU, Omdurman, Sudan
fYear :
2013
fDate :
8-10 Oct. 2013
Firstpage :
43
Lastpage :
48
Abstract :
An algorithm for denoising images polluted by high impulse noise density rate is proposed in this paper. The proposed algorithm is specifically designed to stand against burst of impulses. In such a case, the test window is filled with impulses due to its initial limited size(typically 3×3). As a result, the standard median filter fails completely in recovering corrupted pixel. To remedy this effect, larger test window size is used to increase the probability of removing the effect of impulse bursts. Thereafter, all impulses are removed from the test window, and a trimmed mean with 25% of outlier exclusion for the rest noise free pixels is used to replace the corrupted pixel. The experimental results show that the performance of the proposed algorithm is superior to that of the conventional state-of-the-art denoising approach.
Keywords :
image denoising; impulse noise; probability; corrupted pixel; high density impulse noise suppression algorithm; high impulse noise density rate; image denoising algorithm; impulse burst effect; rest noise free pixels; robust outlier exclusion; test window size; Cameras; Filtering algorithms; Noise measurement; PSNR; Process control; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Image Processing Applications (ICSIPA), 2013 IEEE International Conference on
Conference_Location :
Melaka
Print_ISBN :
978-1-4799-0267-5
Type :
conf
DOI :
10.1109/ICSIPA.2013.6707975
Filename :
6707975
Link To Document :
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