Waterloo IVC Multi-Exposure Fusion Image Database

Kede Ma , Kai Zeng and Zhou Wang


Introduction

Coming Soon

We are making the IQA database available to the research community free of charge. If you use this database in your research, we kindly ask that you reference our paper listed below:

  • Kede Ma, Kai Zeng and Zhou Wang, "Perceptual Quality Assessment for Multi-Exposure Image Fusion," IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 3345-3356, Nov. 2015
  • Kai Zeng, Kede Ma, Rania Hassen and Zhou Wang, "Perceptual Evaluation of Multi-exposure Image Fusion Algorithms," The 6th International Workshop on Quality of Multimedia Experience (QoMEX), 2014

Database Specification

17 high-quality source image sequences of maximum size of 384 x 512 x 30 are selected to cover diverse image content including natural sceneries, indoor and outdoor views, and man-made architectures. The origins of the sequences are specified in the above TIP paper.

8 fusion algorithms are selected, which include simple operatorssuch as 1) local energy weighted linear combination and 2) global energy weighted linear combination, as well as advancedMEF algorithms such as 3) Raman09, 4) Gu12, 5) ShutaoLi12, 6) ShutaoLi13 (Li13), 7) Li12, and 8) Mertens07. These algorithms are chosen to cover a diverse types of MEF methods in terms of methodology and behavior. Eventually, a total of 136 fused images are generated, which are divided into 17 image sets of 8 images each, where the images in the same set are created from the same source image sequence.

The mean opinion scores (MOS) of fused images range from 1 to 10, where 1 denotes the worst quality and 10 the best.


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MEF Subjective Database


Copyright

Copyright © 2015 The University of Waterloo
All rights reserved.

Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this database (the images, the results and the source files) and its documentation for any purpose, provided that the copyright notice in its entirity appear in all copies of this database, and the original source of this database, Image and Vision Computing Laboratory (IVC, https://ivc.uwaterloo.ca/) at the University of Waterloo (UW, http://www.uwaterloo.ca), is acknowledged in any publication that reports research using this database.

The following papers are to be cited in the bibliography whenever the database is used as:

  • Kede Ma, Kai Zeng and Zhou Wang, "Perceptual Quality Assessment for Multi-Exposure Image Fusion," IEEE Trans. on Image Processing (TIP), 2015.
  • Kai Zeng, Kede Ma, Rania Hassen and Zhou Wang, "Perceptual Evaluation of Multi-exposure Image Fusion Algorithms," The 6th International Workshop on Quality of Multimedia Experience (QoMEX), 2014

IN NO EVENT SHALL THE UNIVERSITY OF WATERLOO BE LIABLE TO ANY PARTY FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OF THIS DATABASE AND ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF WATERLOO HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

THE UNIVERSITY OF WATERLOO SPECIFICALLY DISCLAIMS ANY WARRANTIES,INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OFMERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE. THE DATABASEPROVIDED HEREUNDER IS ON AN "AS IS" BASIS, AND THE UNIVERSITY OFWATERLOO HAS NO OBLIGATION TO PROVIDE MAINTENANCE, SUPPORT, UPDATES,ENHANCEMENTS, OR MODIFICATIONS.


Copyright

Copyright © 2015 The University of Waterloo
All rights reserved.

Permission is hereby granted, without written agreement and without license or royalty fees, to use, copy, modify, and distribute this database (the images, the results and the source files) and its documentation for any purpose, provided that the copyright notice in its entirity appear in all copies of this database, and the original source of this database, Image and Vision Computing Laboratory (IVC, https://ivc.uwaterloo.ca/) at the University of Waterloo (UW, http://www.uwaterloo.ca), is acknowledged in any publication that reports research using this database.