Development of denoising method for digital image in low-light condition

Author

Sari, Suhaila ; Al Fakkri, Sharifah Zahidah Hasan ; Roslan, Hazli ; Tukiran, Zarina

Author_Institution

Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia, Parit Raja, Malaysia

fYear

2013

fDate

Nov. 29 2013-Dec. 1 2013

Firstpage

142

Lastpage

147

Abstract

A good noise reduction is a method that can reduce the noise level and preserve the details of the image. This paper proposes the development of a denoising method through hybridization of bilateral filters and wavelet thresholding for digital images in low light condition.In the first stage, the noisy image is passed through Bilateral Filter. However, only some amount of noise gets reduced and the image gives a blurred appearance. Hence to preserve the edge details and reduce the blur effect, Wavelet Thresholding is applied and it is proved that the proposed method is more successful to preserve the edges while suppressing the noise.

Keywords

filtering theory; image denoising; image restoration; image segmentation; wavelet transforms; bilateral filter hybridization; blur effect reduction; digital image denoising method development; low-light condition; noise level reduction; noise suppression; noisy image; wavelet thresholding; Digital images; Image edge detection; Noise; Noise level; Noise measurement; Wiener filters; Bilateral Filter; Wavelet Thresholding; edge preservation; image denoising;

fLanguage

English

Publisher

ieee

Conference_Titel

Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on

Conference_Location

Mindeb

Print_ISBN

978-1-4799-1506-4

Type

conf

DOI

10.1109/ICCSCE.2013.6719948

Filename

6719948