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Suppressing noise while preserving textures is one of the most important and challenging problems in natural image denoising. Various priors of natural image, such as gradient based prior, nonlocal self-similarity based prior etc., have been widely studied for noise removal. The methods based on these priors may smooth the fine scale image textures and degrade visual quality of the image. To improve...
For the existing problems of staircase effect, edge blur and uncertainty of parameter selection in the process of image denoising and recovery of variational partial differential equations., a novel total variation restoration model based on image structure tensor(STTV) is proposed. We introduce image structure tensor to construct the image structure control function instead of using Lagrange multiplier...
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