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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"
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Updated 03 Oct 2015

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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 (2021). 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 .

Comments and Ratings (4)

hena sharma

In this code 'x3_256.mat' file where you got.
Because I have gone through the code. But this file I have not found. Can you tell me how to generate this file.

Thank you.

MANI KANDAN

Jonghoon Ryu

Kai Zhang

Modified testing codes can be downloaded from: http://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/54065/versions/2/download/zip/SISR_Demo.zip

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

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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/