A Detection Statistic for Random-Valued Impulse Noise

Authors:
Yiqiu Dong;R. H. Chan;Shufang Xu
Affiliations:
Sch. of Math. Sci., Peking Univ.;-;-
Venue:
IEEE Transactions on Image Processing
Year:
2007

Citing 0
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A restoration algorithm for images contaminated by mixed Gaussian plus random-valued impulse noise

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A novel diffusion system for impulse noise removal based on a robust diffusion tensor

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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