Skip to content

Navigation Menu

Sign in
Appearance settings

Search code, repositories, users, issues, pull requests...

Provide feedback

We read every piece of feedback, and take your input very seriously.

Saved searches

Use saved searches to filter your results more quickly

Sign up
Appearance settings

Blind Image Deblurring with Local Maximum Gradient Prior

Notifications You must be signed in to change notification settings

cuiyixin555/LMG

Repository files navigation

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.

About

Blind Image Deblurring with Local Maximum Gradient Prior

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

AltStyle によって変換されたページ (->オリジナル) /