文件列表:

BT_EM_exp.m (1477, 2017-04-11)
BT_scores.pdf (253480, 2017-04-11)
attributes (0, 2017-04-11)
attributes\nonuniform_all.txt (390, 2017-04-11)
attributes\nonuniform_manmade.txt (69, 2017-04-11)
attributes\nonuniform_natural.txt (78, 2017-04-11)
attributes\nonuniform_people.txt (78, 2017-04-11)
attributes\nonuniform_saturated.txt (78, 2017-04-11)
attributes\nonuniform_text.txt (79, 2017-04-11)
attributes\real_all.txt (390, 2017-04-11)
attributes\real_manmade.txt (259, 2017-04-11)
attributes\real_natural.txt (53, 2017-04-11)
attributes\real_people.txt (46, 2017-04-11)
attributes\real_saturated.txt (109, 2017-04-11)
attributes\real_text.txt (62, 2017-04-11)
attributes\uniform_all.txt (390, 2017-04-11)
attributes\uniform_manmade.txt (69, 2017-04-11)
attributes\uniform_natural.txt (78, 2017-04-11)
attributes\uniform_people.txt (78, 2017-04-11)
attributes\uniform_saturated.txt (78, 2017-04-11)
attributes\uniform_text.txt (79, 2017-04-11)
coefficient_of_agreement.m (1157, 2017-04-11)
color_spec.m (1996, 2017-04-11)
construct_winning_matrix.m (1485, 2017-04-11)
demo_bt_ranking.m (3495, 2017-04-11)
demo_dataset_correlation.m (2639, 2017-04-11)
demo_kendall.m (1633, 2017-04-11)
demo_significance_test.m (3116, 2017-04-11)
get_significance_test_threshold.m (1373, 2017-04-11)
list (0, 2017-04-11)
list\method.txt (131, 2017-04-11)
list\real.txt (2008, 2017-04-11)
list\synthetic_nonuniform.txt (2700, 2017-04-11)
list\synthetic_uniform.txt (2825, 2017-04-11)
load_list.m (1091, 2017-04-11)
votes (0, 2017-04-11)
votes\votes_nonuniform.csv (303391, 2017-04-11)
votes\votes_nonuniform_balance_all.csv (241975, 2017-04-11)
... ...

# 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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