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Similarity Noise Training for Image Denoising
Contact: KHODJA ABD ERRAOUF, Email:201710800010@zjnu.edu.cn
Training and testing demo Similarity Noise Training for Image Denoising, All training have been condacted on Windows 10, with Matlab R2018b with Matconvnet toolbox consider compiling Matconvnet in advance.
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data
----Test (Set12 and Set68 )
----Train400 (400 training images default training patch size 20X20)
----utilities
----model_noise_NSS_no_gt_training.m (run this to generate training (clean) patches!)
model_noise_NSS_no_gt_training.m (run this to train the model)
test_performance_one_image_NSS_no_gt_training.m (test one image model)
test_performance_Set12_NSS_no_gt_training.m (test Set12 dataset model)
test_performance_Train400_NSS_no_gt_training.m (test Train400 model)
train_tow_net.m (the main body of training code)
Model_test (Helper function for performing patch matching and testing)
Ag_Net.m, CL_Net.m (initializate the model)
README.md