Title :
A Detection Statistic for Random-Valued Impulse Noise
Author :
Dong, Yiqiu ; Chan, Raymond H. ; Xu, Shufang
Author_Institution :
Sch. of Math. Sci., Peking Univ.
fDate :
4/1/2007 12:00:00 AM
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;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2006.891348
