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No-reference image quality assessment in curvelet domain
Signal Processing: Image Communication, 2014Abstract We study the efficacy of utilizing a powerful image descriptor, the curvelet transform, to learn a no-reference (NR) image quality assessment (IQA) model. A set of statistical features are extracted from a computed image curvelet representation, including the coordinates of the maxima of the log-histograms of the curvelet coefficients values,
Lixiong Liu +3 more
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No-Reference Quality Assessment for Underwater Images
SSRN Electronic Journal, 2022Guojia Hou +4 more
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Progress in no-reference image quality assessment
Journal of Image and Graphics, 2021Fang Yuming +4 more
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No Reference Image Quality Assessment Via Quality Difference Learning
2023 IEEE International Conference on Multimedia and Expo (ICME), 2023Jiaming Xie +3 more
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Time to add screening for financial hardship as a quality measure?
Ca-A Cancer Journal for Clinicians, 2021Cathy J Bradley +2 more
exaly
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Fused features for no reference image quality assessment
The Imaging Science Journal, 2022Ajai John Chemmanam +2 more
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