Combined No-Reference Image Quality Metrics for Visual Quality Assessment Optimized for Remote Sensing Images

Combined No-Reference Image Quality Metrics for Visual Quality Assessment Optimized for Remote Sensing Images

No-reference image quality assessment is one of the most demanding areas of image analysis for many applications where the results of the analysis should be strongly correlated with the quality of an input image and the corresponding reference image is unavailable. One of the examples might be remot...

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Bibliographic Details
Main Authors: Andrii Rubel, Oleg Ieremeiev, Vladimir Lukin, Jarosław Fastowicz, Krzysztof Okarma
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Applied Sciences
Subjects:
image quality assessment
visual quality metrics
neural networks
combined metrics
Online Access:https://www.mdpi.com/2076-3417/12/4/1986

Internet

https://www.mdpi.com/2076-3417/12/4/1986

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