Title: Multiframe Image Super Resolution Based on Second Order Total Generalized Variation
Abstract: Super resolution is a very important issue in the field of image processing. In this paper,Second order total general variation( TGV) is used to solve a reconstruction based multi-frame images super resolution problem. A second order total general variation based super resolution model is built in the paper. In order to preserve the edges and detail information,a spatial adaptive regularization parameter of the image is applied. For solving the non-smooth problem,a half quadric and alternating direction based numerical algorithm is proposed. Experiments verified that the proposed model and numerical algorithm can effectively increase the resolution of an image,and they can preserve the texture and detail information.
Publication Year: 2015
Publication Date: 2015-01-01
Language: en
Type: article
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