DocumentCode :
2381697
Title :
A joint filtering based SVD technique for image de-noising
Author :
Marjuni, Aris ; Fauzi, Mohd F. A. ; Swee-Huay Heng ; Logeswaran, Rajasvaran
Author_Institution :
Fac. of Eng., Multimedia Univ., Cyberjaya, Malaysia
fYear :
2012
fDate :
18-20 March 2012
Firstpage :
237
Lastpage :
240
Abstract :
Image de-noising is an important part of image enhancement. This paper proposes an image de-noising technique on the singular value decomposition (SVD) using a combination of the signal-to-noise ratio (SNR) and median of noised image as a filtering function for singular values replacement. The signal noise is assumed to be an additive white Gaussian noise. Experimental results show that the proposed method is able to successfully enhance the visual quality of noisy images through this low complexity de-noising process.
Keywords :
AWGN; filtering theory; image denoising; image enhancement; singular value decomposition; SNR; SVD technique; additive white Gaussian noise; image de-noising technique; image enhancement; joint filtering function; noised image median; signal-to-noise ratio; singular value decomposition; singular values replacement; Image denoising; Matrix decomposition; Noise measurement; Noise reduction; PSNR; Standards; image de-noising; image enhancement; median; signal-to-noise ratio; singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computers & Informatics (ISCI), 2012 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4673-1685-9
Type :
conf
DOI :
10.1109/ISCI.2012.6222701
Filename :
6222701
Link To Document :
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