Waterloo IVC Interpolated Natural Image Database

Hojatollah Yeganeh Mohammad Rostami and Zhou Wang

Introduction

Image interpolation techniques that create high-resolution images from low-resolution (LR) images are widely used in real world applications. This dataset includes the results of different super-resolution algorithms applied on various image content types and scales, along with subjective quality scores given to the interpolated images.

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:

  • H. Yeganeh, M. Rostami and Z. Wang, “Objective quality assessment of interpolated natural images,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4651–4663, 2015

Database Specification

The database includes 13 sets of natural images. By directly downsampling the images by factors of 2, 4 and 8, we created 39 LR images with sizes of 256 × 256, 128 × 128 and 64 × 64, respectively. For each downsampled image, eight interpolation algorithms were employed to create interpolated high resolution images by scaling factors of 2, 4 and 8, respectively. In the subjective test, 30 observers was asked to rank the 8 images in each upsampled image set from the best to the worst. The subjective rankings for each image is then averaged, resulting in its mean ranking score within the set.

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WIND Subjective Database

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:

  • H. Yeganeh, M. Rostami and Z. Wang, “Objective quality assessment of interpolated natural images,” IEEE Transactions on Image Processing, vol. 24, no. 11, pp. 4651–4663, 2015

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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.