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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 [email protected]
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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).

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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 [email protected]

Thank you!
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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.