A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as A Proxy

iquaflow is a framework that provides a set of tools to assess image quality. The user can add custom metrics that can be easily integrated and a set of unsupervised methods is offered by default. Furthermore, iquaflow measures quality by using the performance of AI models trained on the images as a...

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Vydané v:	IEEE journal of selected topics in applied earth observations and remote sensing Ročník 17; s. 1 - 12
Hlavní autori:	Galles, P., Takats, K., Hernandez-Cabronero, M., Berga, D., Pega, L., Riordan-Chen, L., Garcia, C., Becker, G., Garriga, A., Bukva, A., Serra-Sagrista, J., Vilaseca, D., Marin, J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.01.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Artificial intelligence Cognitive tasks Compression Data compression Deep learning Downloading Image analysis Image coding Image compression Image processing Image quality Image reconstruction Image resolution Image segmentation Machine learning Object detection Performance degradation Quality assessment Quality control Remote sensing Repositories Satellite imagery Satellites Source code Task analysis Training Transform coding
ISSN:	1939-1404, 2151-1535
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