NIMA: Neural Image Assessment

Automatically learned quality assessment for images has recently become a hot topic due to its usefulness in a wide variety of applications, such as evaluating image capture pipelines, storage techniques, and sharing media. Despite the subjective nature of this problem, most existing methods only pr...

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Bibliographic Details
Published in:IEEE transactions on image processing 2018-08, Vol.27 (8), p.3998-4011
Main Authors: Talebi, Hossein, Milanfar, Peyman
Format: Article
Language:English
Subjects:
deep learning
Distortion
Histograms
Image quality
Image quality assessment
no-reference quality assessment
Quality assessment
Task analysis
Training
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