Joint Learning of Multiple Regressors for Single Image Super-Resolution

Version 1.0.0.0 (19.6 MB) by Kai Zhang
Matlab code of the paper "Joint Learning of Multiple Regressors for Single Image Super-Resolution"
4.5
(2)
1K Downloads
Updated 3 Oct 2015

View License

We propose a mixture of experts (MoE) model to jointly learn multiple anchors and regressors for Single Image Super-Resolution (SISR). For training, run step 1 2 3 4. For testing, run HR2LR.m then run SISR_main.m.

Cite As

Kai Zhang (2024). Joint Learning of Multiple Regressors for Single Image Super-Resolution (https://www.mathworks.com/matlabcentral/fileexchange/53349-joint-learning-of-multiple-regressors-for-single-image-super-resolution), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2014a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

SISR/test/

SISR/test/utilities/

SISR/train/step_1_patches_collection_for_MoE/

SISR/train/step_2_MoE_model_training/

SISR/train/step_2_MoE_model_training/GMM/

SISR/train/step_3_5million_patches_collection/

SISR/train/step_4_refine_experts/

SISR/train/step_4_refine_experts/irls/

Version Published Release Notes
1.0.0.0

My email is zhkmath@163.com. Please feel free to contact me if you have any questions.