© The Institution of Engineering and Technology
In this study, the authors propose a variational approach based on total generalised variation (TGV) and local gradient information to fuse multifocus images as well as medical images of computed tomography and magnetic resonance. They use the secondorder TGV as the regularisation term and local gradient information as the fusion weight to extract image features. To compute the new model effectively, the primaldual algorithm is carried out. Various experiments are made to verify the effectiveness of the proposed methods.
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