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No-reference image quality assessment in contourlet domain
Neurocomputing, 2010The target of no-reference (NR) image quality assessment (IQA) is to establish a computational model to predict the visual quality of an image. The existing prominent method is based on natural scene statistics (NSS). It uses the joint and marginal distributions of wavelet coefficients for IQA.
Wen Lu 0004 +4 more
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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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Full Reference Image Quality Assessment: Limitation
2014 22nd International Conference on Pattern Recognition, 2014In this work, we propose to study the universality of the Full-Reference Image Quality metrics (FR-IQMs) and show the no-relevance to use this kind of metrics without considering the degradation type contained in the image. Different experimental tests have been done in order to analyze its performance.
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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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No-reference quality assessment for underwater images
Computers and Electrical EngineeringGuojia Hou +5 more
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Precise No-Reference Image Quality Evaluation Based on Distortion Identification
ACM Transactions on Multimedia Computing, Communications and Applications, 2021Xiangyang Ji +2 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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Non-distortion-specific no-reference image quality assessment: A survey
Information Sciences, 2015Ling Shao, Redzuan Abdul Manap
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