2016
DOI: 10.5120/ijca2016909645
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Image De-blurring and Supper-Resolution by Adaptive Sparse Domain Selection and Regularization

Abstract: The method of total variation is used as a significant and competent image prior model in the regularization based area of image processing. However, as the model showing total variation supports a piecewise steady explanation, this process is classify below high intensity noise in the level areas of the picture is often poor, and a small number of pseudo edges are produced. Under this work we build up a spatially adaptive total variation model. Initially, we extract the spatial data based on each and every pi… Show more

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