cvpr16_deblur_study-master
所属分类:图形图像处理
开发工具:matlab
文件大小:708KB
下载次数:4
上传日期:2019-06-05 17:02:58
上 传 者:
dollylu
说明: 文献 "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior" 的参考代码
用Lp正则化方法做盲复原的代码
demo_text_deblurring 是主函数
(refer to "Deblurring Text Images via L0-Regularized Intensity and Gradient Prior"
main function: demo_text_deblurring)
文件列表:
attributes\nonuniform_all.txt (390, 2017-04-10)
attributes\nonuniform_manmade.txt (69, 2017-04-10)
attributes\nonuniform_natural.txt (78, 2017-04-10)
attributes\nonuniform_people.txt (78, 2017-04-10)
attributes\nonuniform_saturated.txt (78, 2017-04-10)
attributes\nonuniform_text.txt (79, 2017-04-10)
attributes\real_all.txt (390, 2017-04-10)
attributes\real_manmade.txt (259, 2017-04-10)
attributes\real_natural.txt (53, 2017-04-10)
attributes\real_people.txt (46, 2017-04-10)
attributes\real_saturated.txt (109, 2017-04-10)
attributes\real_text.txt (62, 2017-04-10)
attributes\uniform_all.txt (390, 2017-04-10)
attributes\uniform_manmade.txt (69, 2017-04-10)
attributes\uniform_natural.txt (78, 2017-04-10)
attributes\uniform_people.txt (78, 2017-04-10)
attributes\uniform_saturated.txt (78, 2017-04-10)
attributes\uniform_text.txt (79, 2017-04-10)
BT_EM_exp.m (1477, 2017-04-10)
BT_scores.pdf (253480, 2017-04-10)
coefficient_of_agreement.m (1157, 2017-04-10)
color_spec.m (1996, 2017-04-10)
construct_winning_matrix.m (1485, 2017-04-10)
demo_bt_ranking.m (3495, 2017-04-10)
demo_dataset_correlation.m (2639, 2017-04-10)
demo_kendall.m (1633, 2017-04-10)
demo_significance_test.m (3116, 2017-04-10)
get_significance_test_threshold.m (1373, 2017-04-10)
list\method.txt (131, 2017-04-10)
list\real.txt (2008, 2017-04-10)
list\synthetic_nonuniform.txt (2700, 2017-04-10)
list\synthetic_uniform.txt (2825, 2017-04-10)
load_list.m (1091, 2017-04-10)
votes\votes_nonuniform.csv (303391, 2017-04-10)
votes\votes_nonuniform_balance_all.csv (241975, 2017-04-10)
votes\votes_nonuniform_balance_manmade.csv (41142, 2017-04-10)
votes\votes_nonuniform_balance_natural.csv (43910, 2017-04-10)
votes\votes_nonuniform_balance_people.csv (42935, 2017-04-10)
votes\votes_nonuniform_balance_saturated.csv (42935, 2017-04-10)
... ...
# A Comparative Study for Single Image Blind Deblurring (CVPR 2016)
### Introduction
This is the research code for the paper:
[Wei-Sheng Lai](http://graduatestudents.ucmerced.edu/wlai24/),
[Jia-Bin Huang](https://sites.google.com/site/jbhuang0604/),
[Zhe Hu](https://eng.ucmerced.edu/people/zhu),
[Narendra Ahuja] (http://vision.ai.illinois.edu/ahuja.html),
and [Ming-Hsuan Yang](http://faculty.ucmerced.edu/mhyang/),
"A Comparative Study for Single Image Blind Deblurring", IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016
[Project webpage](http://vllab1.ucmerced.edu/~wlai24/cvpr16_deblur_study/)
[Paper](http://vllab1.ucmerced.edu/~wlai24/cvpr16_deblur_study/paper/cvpr16_deblur_study.pdf)
### Citation
If you find the code and datasets useful in your research, please cite:
@inproceedings{Lai-CVPR-2016,
author = {Lai, Wei-Sheng and Huang, Jia-Bin and Hu, Zhe and Ahuja, Narendra and Yang, Ming-Hsuan},
title = {A Comparative Study for Single Image Blind Deblurring},
booktitle = {IEEE Conferene on Computer Vision and Pattern Recognition},
year = {2016}
}
### Contents
| Folder/Files | Description |
| ---|---|
| attributes/ | lists of image id for each attribute |
| list/ | lists of image names for our datasets |
| votes/ | user voting results |
| *.m | MATLAB code |
| BT_scores.pdf | A slide described the algorithm and implementation details of the BT scores |
Our code is implemented and tested on Windows 7 / Ubuntu 14.04 with MATLAB R2015a.
Run `demo_bt_ranking.m`, `demo_dataset_correlation.m`, `demo_kendall.m`, and `demo_significance_test.m` to reproduce the analysis in our paper.
Our datasets could be downloaded from the [project webpage](http://vllab1.ucmerced.edu/~wlai24/cvpr16_deblur_study/).
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