Title:Lightweight Dual-stream ResidualNetwork for Single ImageSuper-Resolution By Yichun Jiang, Yunqing Liu, Weida Zhang, Depeng Zhu
School of Electronic Information Engineering,Changchun University of Science and Technology,Jilin 130022,China Changchun University of Science and Technology National Demonstration Center for Experimental Electrical, ChangChun, JiLin, 130022, China
Dear experts, scholars and related practitioners:：
This is our code for new algorithm called LDRN, which is proposed to solve the super-resolution problem.
We have given our model here, which can be used to verify our results. However, due to github restrictions, we saved the test datasets on OneDrive. You can download the test datasets from the following URL:
https://1drv.ms/u/s!AsnHFFsP0cnXkDl82thlis6dXlLT?e=JTo3BC
Unzip the datasets and copy them to the root directory. Then, you can run test.py to generate super-resolution results. If you want to train our model by yourself, please download the training data set yourself and run main.py.