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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 Image Quality Assessment in Spatial Domain
2015With the development of computer vision, there has been an increasing need to develop objective quality measurement techniques that can predict image quality automatically. In this paper, we present a complex No-reference image quality assessment (NR IQA) algorithm, which mainly consists of two steps.
Tao Sun +4 more
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Precise No-Reference Image Quality Evaluation Based on Distortion Identification
ACM Transactions on Multimedia Computing, Communications and Applications, 2021Chenggang Yan +2 more
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No-Reference Image Quality Assessment by Hallucinating Pristine Features
IEEE Transactions on Image Processing, 2022Baoliang Chen +2 more
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No-reference quality assessment for underwater images
Computers and Electrical EngineeringGuojia Hou +5 more
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Feature Grouping for No-reference Image Quality Assessment
2022 7th International Conference on Automation, Control and Robotics Engineering (CACRE), 2022Yanan Dai +6 more
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Blind Quality Assessment Based on Pseudo-Reference Image
IEEE Transactions on Multimedia, 2018Xiongkuo Min, Ke Gu, Guangtao Zhai
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RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment
IEEE Transactions on Image Processing, 2012Rajiv Soundararajan, Alan C Bovik
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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
IEEE Transactions on Image Processing, 2018Sebastian Bosse +2 more
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