This code implements a deep learning model for predciting the satisfied user ratio (SUR) curve.
Run demo.ipynb to see how to extract deep features and train a deep model.
Please cite the following paper if you use the code:
@article{sur-featnet,
title={SUR-FeatNet: Predicting the Satisfied User Ratio Curve for Image Compression with
Deep Feature Learning},
author={Lin, Hanhe and Hosu, Vlad and Fan, Chunling and Zhang, Yun and Mu, Yuchen and Hamzaoui,
Raouf and Saupe, Dietmar},
journal={Quality and User Experience},
year={2020},
volume={5},
number={1},
pages={5}}