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======================================================================= Copyright (c) 2020 The Ningbo University All rights reserved. Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this code (the source files) and its documentation for any purpose, provided that the copyright notice in its entirety appear in all copies of this code, and the original source of this code, Ningbo University, is acknowledged in any publication that reports research using this code. The research is to be cited in the bibliography as: [1] Jianjun Xiang, Mei Yu, Gangyi Jiang, Haiyong Xu, Yang Song and Yo-Sung Ho. "Pseudo Video and Refocused Images Based Blind Light Field Image Quality Assessment", IEEE Transactions on Circuits and Systems for Video Technology. doi: 10.1109/TCSVT.2020.3030049. Author : Jianjun Xiang The authors are with the Faculty of Information Science and Engineering, Ningbo University, Ningbo 315211, China If you have any question about the code, please contact to 1811082122@nbu.edu.cn ======================================================================= This is a demonstration of the blind light field image quality assessment method described in: Jianjun Xiang, Mei Yu, Gangyi Jiang, Haiyong Xu, Yang Song and Yo-Sung Ho. "Pseudo Video and Refocused Images Based Blind Light Field Image Quality Assessment", Accepted, IEEE Transactions on Circuits and Systems for Video Technology. You can change this program as you like and use it anywhere, but please refer to its original source (cite our paper). ======================================================================= An exmaple ( Matlab codes and light field image) are provided to demonstrate how to use the package. 1) You should run make_RefoImag.m and generate multiple refocuse images. 2) Run extract_features.m and you can get perceputal features. If you have any question about the code, please contact to 1811082122@nbu.edu.cn Thank you! ======================================================================= New! Add description! The NBU-LF 1.0 dataset is publicly available. The link is as follow: https://pan.baidu.com/s/1Jqr9KO-vhac9qtUv4aEJpA password:zj8m If you use NBU-LF 1.0 dataset, please cite [1] Z. Huang, M. Yu, G. Jiang, K. Chen, Z. Peng, and F. Chen, “Reconstruction distortion oriented light field image dataset for visual vommunication,” in Int'l. Symp. Net. Comp. Commun. (ISNCC), Istanbul, Turkey, 2019, pp. 1-5.
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