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Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics

https://doi.org/10.1145/3414837
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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A Six-Stimulus Theory for Stochastic Texture
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A free energy principle for the brain
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Quality assessment for real out-of-focus blurred images
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The free-energy principle: a unified brain theory?
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Learning without Human Scores for Blind Image Quality Assessment
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Proceedings of IEEE International Conference on Computer Vision
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A highly efficient method for blind image quality assessment
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Perceptual image quality assessment combining free-energy principle and sparse representation
inferredcites →https://doi.org/10.1109/jstsp.2016.2639328openalex-snapshot
Fully Deep Blind Image Quality Predictor
inferredcites →https://doi.org/10.1109/lsp.2010.2043888openalex-snapshot
A Two-Step Framework for Constructing Blind Image Quality Indices
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
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Hybrid No-Reference Quality Metric for Singly and Multiply Distorted Images
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The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement
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A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures
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A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
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Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor
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The iDUDE Framework for Grayscale Image Denoising
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Adaptive Sequential Prediction of Multidimensional Signals With Applications to Lossless Image Coding
inferredcites →https://doi.org/10.1109/tip.2011.2147325openalex-snapshot
Blind Image Quality Assessment: From Natural Scene Statistics to Perceptual Quality
inferredcites →https://doi.org/10.1109/tip.2011.2161092openalex-snapshot
A Psychovisual Quality Metric in Free-Energy Principle
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RRED Indices: Reduced Reference Entropic Differencing for Image Quality Assessment
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Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tip.2014.2323127openalex-snapshot
Group-Based Sparse Representation for Image Restoration
inferredcites →https://doi.org/10.1109/tip.2014.2346028openalex-snapshot
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2014.2378061openalex-snapshot
CID2013: A Database for Evaluating No-Reference Image Quality Assessment Algorithms
inferredcites →https://doi.org/10.1109/tip.2015.2426416openalex-snapshot
A Feature-Enriched Completely Blind Image Quality Evaluator
inferredcites →https://doi.org/10.1109/tip.2015.2500021openalex-snapshot
Massive Online Crowdsourced Study of Subjective and Objective Picture Quality
inferredcites →https://doi.org/10.1109/tip.2016.2631888openalex-snapshot
Waterloo Exploration Database: New Challenges for Image Quality Assessment Models
inferredcites →https://doi.org/10.1109/tip.2017.2708503openalex-snapshot
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs
inferredcites →https://doi.org/10.1109/tip.2017.2774045openalex-snapshot
End-to-End Blind Image Quality Assessment Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/tip.2018.2799331openalex-snapshot
A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment
inferredcites →https://doi.org/10.1109/tit.2007.909108openalex-snapshot
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
inferredcites →https://doi.org/10.1109/tmm.2014.2373812openalex-snapshot
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inferredcites →https://doi.org/10.1109/tmm.2016.2601028openalex-snapshot
Blind Image Quality Assessment Using Statistical Structural and Luminance Features
inferredcites →https://doi.org/10.1109/tmm.2017.2729020openalex-snapshot
Reduced-Reference Image Quality Assessment in Free-Energy Principle and Sparse Representation
inferredcites →https://doi.org/10.1109/tmm.2018.2849602openalex-snapshot
Blind Quality Assessment of Camera Images Based on Low-Level and High-Level Statistical Features
inferredcites →https://doi.org/10.1109/tpami.2002.1017623openalex-snapshot
Multiresolution gray-scale and rotation invariant texture classification with local binary patterns
inferredcites →https://doi.org/10.1109/tpami.2007.1110openalex-snapshot
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
inferredcites →https://doi.org/10.1145/1201730.1201731openalex-snapshot
Defining user perception of distributed multimedia quality
inferredcites →https://doi.org/10.1145/3183512openalex-snapshot
Measuring Individual Video QoE
inferredcites →https://doi.org/10.1145/3327963openalex-snapshot
LiwePMS
inferredcites →https://doi.org/10.1145/3328994openalex-snapshot
Learning Click-Based Deep Structure-Preserving Embeddings with Visual Attention
inferredcites →https://doi.org/10.5281/zenodo.39577openalex-snapshot
Quality Evaluation Model Using Local Features Of Still Picture
inferredcites →https://doi.org/10.5555/2322644.2324739openalex-snapshot
Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video

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