Objective image quality assessment: a survey

DOI10.1080/00207160.2013.816415zbMath1320.68216OpenAlexW2009794660MaRDI QIDQ5175463

Lihuo He, Weilong Hou, Lei Hao, Fei Gao

Publication date: 23 February 2015

Published in: International Journal of Computer Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207160.2013.816415

zbMATH Keywords

machine learninghuman visual systemimage quality assessmentvisual informationperceptual quality

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Research exposition (monographs, survey articles) pertaining to computer science (68-02)

Related Items (1)

Editorial

Cites Work

• A natural image quality evaluation metric
• On advances in statistical modeling of natural images
• A NOVEL METRIC BASED ON MCA FOR IMAGE QUALITY
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• A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
• Image Quality Assessment Based on Multiscale Geometric Analysis
• No-Reference Blur Assessment of Digital Pictures Based on Multifeature Classifiers
• Information Content Weighting for Perceptual Image Quality Assessment
• Hybrid No-Reference Natural Image Quality Assessment of Noisy, Blurry, JPEG2000, and JPEG Images
• FSIM: A Feature Similarity Index for Image Quality Assessment
• RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment
• Image Quality Assessment Based on Gradient Similarity
• Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
• No-Reference Image Quality Assessment in the Spatial Domain

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