Spatially Adaptive Total Variation Image Denoising Under Salt and Pepper Noise

Automated selection of the regularization parameter for Total Variation restoration has shown to give very accurate reconstruction results. Most of the literature is devoted to the '2-TV case (images corrupted with Gaussian noise), whereas for the '1-TV case (images corrupted with salt-and-pepper noise) there are only a couple of published algorithms. In this paper the authors present a computationally efficient algorithm for '1-TV denoising of gray scale and color images, which spatially adapts its regularization parameter.

Provided by: EURASIP Topic: Software Date Added: Sep 2011 Format: PDF

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