Image enhancement dataset for evaluation of image quality metrics
Kadyrova, Altynay; Pedersen, Marius; Ahmad, Bilal; Mandal, Dipendra Jee; Nguyen, Mathieu; Zimmermann, Pauline
Peer reviewed, Journal article
Published version
Date
2022Metadata
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Original version
IS&T International Symposium on Electronic Imaging Science and Technology. 2022, 317-1-317-6. https://doi.org/10.2352/EI.2022.34.9.IQSP-317Abstract
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.