1. 2021. Independent JPEG Group JPEG image compression software. http://http: //www.ijg.org. Accessed: 2021-01--22. 2021. Independent JPEG Group JPEG image compression software. http://http: //www.ijg.org. Accessed: 2021-01--22.
2. Ali Ak and Patrick Le Callet . 2019 . Towards Perceptually Plausible Training of Image Restoration Neural Networks. In International Conference on Image Processing Theory, Tools and Applications . Istanbul, Turkey. https://doi.org/10. 1109/IPTA. 2019.8936096 Ali Ak and Patrick Le Callet. 2019. Towards Perceptually Plausible Training of Image Restoration Neural Networks. In International Conference on Image Processing Theory, Tools and Applications. Istanbul, Turkey. https://doi.org/10. 1109/IPTA.2019.8936096
3. Scott Daly . 1993. The Visible Differences Predictor: An Algorithm for the Assessment of Image Fidelity . MIT Press , Cambridge, MA, USA , 179--206. Scott Daly. 1993. The Visible Differences Predictor: An Algorithm for the Assessment of Image Fidelity. MIT Press, Cambridge, MA, USA, 179--206.
4. C. Fan H. Lin V. Hosu Y. Zhang Q. Jiang R. Hamzaoui and D. Saupe. 2019. SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. In 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). 1--6. https://doi.org/10.1109/QoMEX.2019.8743204 10.1109/QoMEX.2019.8743204
5. C. Fan H. Lin V. Hosu Y. Zhang Q. Jiang R. Hamzaoui and D. Saupe. 2019. SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning. In 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX). 1--6. https://doi.org/10.1109/QoMEX.2019.8743204