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Volume: 34 | Article ID: IQSP-317
Image enhancement dataset for evaluation of image quality metrics
  DOI :  10.2352/EI.2022.34.9.IQSP-317  Published OnlineJanuary 2022

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.

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

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