A Detection Statistic for Random-Valued Impulse Noise

Author

Dong, Yiqiu ; Chan, Raymond H. ; Xu, Shufang

Author_Institution

Sch. of Math. Sci., Peking Univ.

Volume

16

Issue

4

fYear

2007

fDate

4/1/2007 12:00:00 AM

Firstpage

1112

Lastpage

1120

Abstract

This paper proposes an image statistic for detecting random-valued impulse noise. By this statistic, we can identify most of the noisy pixels in the corrupted images. Combining it with an edge-preserving regularization, we obtain a powerful two-stage method for denoising random-valued impulse noise, even for noise levels as high as 60%. Simulation results show that our method is significantly better than a number of existing techniques in terms of image restoration and noise detection

Keywords

edge detection; image denoising; image resolution; impulse noise; random noise; denoising random-valued impulse noise; detection statistic; edge-preserving regularization; image restoration; noise detection; noisy pixels; Adaptive filters; Detectors; Digital filters; Image edge detection; Image restoration; Noise level; Noise reduction; Pixel; Signal to noise ratio; Statistics; Edge-preserving regularization; image denoising; noise detector; random-valued impulse noise; Algorithms; Artifacts; Computer Simulation; Data Interpretation, Statistical; Image Enhancement; Image Interpretation, Computer-Assisted; Models, Statistical; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2006.891348

Filename

4130419