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A detection statistic for random-valued impulse noise
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DOI：10.1109/TIP.2006.891348.png)
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摘要
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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.
Keyword:
edge-preserving regularization
image denoising
noise detector
random-valued impulse noise
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
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