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