Blind quality assessment for image superresolution using deep two-stream convolutional networks, published in Information Sciences 2020.
Three databases are involved in our experiments, inluding SRID, CVIU, and QADS. In this demo, we use the latest QADS as an example.
matlab extract_structure.m
python extract_texture.py
matlab convert_patch.m
Followed the formats as:
train_structure.txt: /data/zhouw/QADS/structure_patch32/img05_3_08/img05_3_08-1.bmp 0.62647
train_lbp.txt: /data/zhouw/QADS/lbp_patch32/img05_3_08/img05_3_08-1.bmp 0.62647
python train_model.py
python test_model.py
You may cite it in your paper. Thanks a lot.
@article{zhou2020blind,
title={Blind quality assessment for image superresolution using deep two-stream convolutional networks},
author={Zhou, Wei and Jiang, Qiuping and Wang, Yuwang and Chen, Zhibo and Li, Weiping},
journal={Information Sciences},
year={2020},
publisher={Elsevier}
}