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October 30, 2020 ยท View on GitHub

Codes provided by Chen, Liang. Please cite the following paper if it is used % @inproceedings{chen2019blind, % title={Blind Image Deblurring With Local Maximum Gradient Prior}, % author={Chen, Liang and Fang, Faming and Wang, Tingting and Zhang, Guixu}, % booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, % pages={1742--1750}, % year={2019} % }

Main functions used in the paper:

The function Abs_matrix() is used for generate absolute operator in the paper, and the output is a diagonalized sparse matrix.

The function gen_partialmat() is used for generate gradient operator.

The function Max_matrix() is used for generate maximize operator in the paper, and the output is a big sparse matrix. Analogous for the fucntion of Min_matrix().

The function LMG() is used for generate LMG operation in the paper, and the output is the lmg map and operator G in the paper.