GitHub - zhjwustc/cvpr17_iter_deblur_testing_matconvnet: Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution[testing][matconvnet]

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Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution[testing][matconvnet]

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
data		data
matconvnet		matconvnet
models		models
utils		utils
COPYING		COPYING
DL_deblur.m		DL_deblur.m
LICENSE		LICENSE
bilinear_u.m		bilinear_u.m
demo.m		demo.m
findcrop.m		findcrop.m
loadNetwork.m		loadNetwork.m
psnr_ssim_img.m		psnr_ssim_img.m
readme.txt		readme.txt
ssim_index.m		ssim_index.m
wrap_boundary_liu.m		wrap_boundary_liu.m
wrap_boundary_with_edgetaper.m		wrap_boundary_with_edgetaper.m

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This package contains the testing code of the image deblurring algorithm described in the paper: 
Jiawei Zhang, Jinshan Pan, Wei-Sheng Lai, Rynson W.H. Lau, Ming-Hsuan Yang, "Learning Fully Convolutional Networks for Iterative Non-blind Deconvolution", CVPR 2017. 
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How to use
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1. Please install matconvnet first
(1) run matconvnet/matlab/vl_setupnn
(2) vl_compilenn('enableGpu', true)
2. run the testing code from demo.m and you can choose 1%, 3% and 5% noise.