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Volume: 34 | Article ID: IQSP-317
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Image enhancement dataset for evaluation of image quality metrics
Altynay Kadyrova
  Altynay Kadyrova
Affiliation
Norwegian University of Science and Technology, Norway
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Marius Pedersen
  Marius Pedersen
Affiliation
Norwegian University of Science and Technology, Norway
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Bilal Ahmad
  Bilal Ahmad
Affiliation
Norwegian University of Science and Technology, Norway
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Dipendra J. Mandal
  Dipendra J. Mandal
Affiliation
Norwegian University of Science and Technology, Norway
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Mathieu Nguyen
  Mathieu Nguyen
Affiliation
Norwegian University of Science and Technology, Norway
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Pauline Hardeberg Zimmermann
  Pauline Hardeberg Zimmermann
Affiliation
Norwegian University of Science and Technology, Norway
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  DOI :  10.2352/EI.2022.34.9.IQSP-317  Published Online :  January 2022
Abstract
Abstract

Image enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced by five end users, and these have been evaluated by observers in an online image quality experiment. The enhancement steps by the end users and subjective results are analysed in detail. Furthermore, 38 image quality metrics have been evaluated on the introduced dataset to reveal their suitability to measure image enhancement. The results show that the image quality metrics have low to average performance on the new dataset.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/EI.2022.34.9.IQSP-317
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  Cite this article 

Altynay Kadyrova, Marius Pedersen, Bilal Ahmad, Dipendra J. Mandal, Mathieu Nguyen, Pauline Hardeberg Zimmermann, "Image enhancement dataset for evaluation of image quality metrics"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance,  2022,  pp 317-1 - 317-6,  https://doi.org/10.2352/EI.2022.34.9.IQSP-317

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Copyright © Society for Imaging Science and Technology 2022
ei
Electronic Imaging
2470-1173
2470-1173
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/EI.2022.34.9.IQSP-317
IQSP-317
Article
Image enhancement dataset for evaluation of image quality metrics
KadyrovaAltynay
Norwegian University of Science and Technology, Norway
PedersenMarius
Norwegian University of Science and Technology, Norway
AhmadBilal
Norwegian University of Science and Technology, Norway
MandalDipendra J.
Norwegian University of Science and Technology, Norway
NguyenMathieu
Norwegian University of Science and Technology, Norway
Hardeberg ZimmermannPauline
Norwegian University of Science and Technology, Norway
Abstract
Image enhancement is important in different application areas such as medical imaging, computer graphics, and military applications. In this paper, we introduce a dataset with enhanced images. The images have been enhanced by five end users, and these have been evaluated by observers in an online image quality experiment. The enhancement steps by the end users and subjective results are analysed in detail. Furthermore, 38 image quality metrics have been evaluated on the introduced dataset to reveal their suitability to measure image enhancement. The results show that the image quality metrics have low to average performance on the new dataset.
16012022
34
IQSP
9
317-1
317-6
This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
2022
Image enhancement Subjective experiment Image quality metrics