DocumentCode :
672584
Title :
Image denoising algorithm based on hybrid neighborhood filter
Author :
Hussain, Syed Asad ; Gorashi, Sami M.
Author_Institution :
Electr. & Electron. Eng. Dept., OIU, Omdurman, Sudan
fYear :
2013
fDate :
8-10 Oct. 2013
Firstpage :
25
Lastpage :
30
Abstract :
Image denoising is an active area of research and probably one of the most studied problems in the image processing fields. In this paper we describe a new hybrid image denoising algorithm which combines Gaussian based neighborhood spatial filter with wavelet transform that based on neighborhood thresholding function which takes the correlation of the magnitude of the wavelet coefficient with its neighbors into consideration to decide whether the coefficient is noisy or noise free. Accordingly, noises are detected with the help of the surrounding information and are removed. Experimental results show that the proposed algorithm can effectively remove the image noises with less processing time as compared with the state-of-the-art denoising algorithm.
Keywords :
image denoising; spatial filters; wavelet transforms; Gaussian based neighborhood spatial filter; hybrid image denoising algorithm; hybrid neighborhood filter; image noises; image processing; neighborhood thresholding function; wavelet transform; Algorithm design and analysis; Filtering algorithms; Noise; Noise measurement; Noise reduction; Wavelet analysis; Wavelet transforms;
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.2013.6707972
Filename :
6707972
Link To Document :
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