-
Notifications
You must be signed in to change notification settings - Fork 5
/
Copy pathreadme
21 lines (16 loc) · 921 Bytes
/
readme
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
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.