-
Notifications
You must be signed in to change notification settings - Fork 1
yangxh11/NLED_Code
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
Paper: Image Denoising via Sequential Ensemble Learning, TIP, 2020. Test Enviroment: Matlab 2018a How to run? --- Quick demo Change the current directory to './demo'. Run test_demo.m to use a pre-trained model to denoise. --- Complete training and test Change the current directory to './src'. Set parameters (e.g., sigma, filter size, number of training images) in train.m and then run >>train Trained models will be saved in './result'. If models are already saved, you need only run >>test(model_path) --- Note:The training code is being optimized and the current version may lead to slight performance difference from that of paper.
About
Code for paper "Image Denoising via Sequential Ensemble Learning"
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published