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From Pixels to Perception: A Deep Dive into Image Quality Assessment Techniques

https://doi.org/10.2139/ssrn.5397990
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s11263-008-0178-9openalex-snapshot
Spectral Curvature Clustering (SCC)
inferredcites →https://doi.org/10.1007/s11263-020-01419-7openalex-snapshot
Comparison of Full-Reference Image Quality Models for Optimization of Image Processing Systems
inferredcites →https://doi.org/10.1007/s12524-011-0117-zopenalex-snapshot
Evaluating the Sensitivity of Image Fusion Quality Metrics to Image Degradation in Satellite Imagery
inferredcites →https://doi.org/10.1016/0734-189x(89)90166-7openalex-snapshot
Contrast enhancement technique based on local detection of edges
inferredcites →https://doi.org/10.1016/j.aqpro.2015.02.019openalex-snapshot
A Review of Quality Metrics for Fused Image
inferredcites →https://doi.org/10.1016/j.asr.2014.08.024openalex-snapshot
An object-level strategy for pan-sharpening quality assessment of high-resolution satellite imagery
inferredcites →https://doi.org/10.1016/j.dsp.2016.05.012openalex-snapshot
Blind image quality assessment with improved natural scene statistics model
inferredcites →https://doi.org/10.1016/j.ijleo.2015.02.093openalex-snapshot
No-reference image quality assessment algorithms: A survey
inferredcites →https://doi.org/10.1016/j.ijsu.2010.02.007openalex-snapshot
Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement
inferredcites →https://doi.org/10.1016/j.ins.2014.12.055openalex-snapshot
Non-distortion-specific no-reference image quality assessment: A survey
inferredcites →https://doi.org/10.1016/j.jag.2012.01.013openalex-snapshot
Assessment of pan-sharpening methods applied to image fusion of remotely sensed multi-band data
inferredcites →https://doi.org/10.1016/j.jvcir.2015.01.007openalex-snapshot
No-reference blur assessment based on edge modeling
inferredcites →https://doi.org/10.1016/j.techfore.2021.120743openalex-snapshot
Risk management in sustainable smart cities governance: A TOE framework
inferredcites →https://doi.org/10.1109/97.995823openalex-snapshot
A universal image quality index
inferredcites →https://doi.org/10.1109/access.2019.2943319openalex-snapshot
A Comprehensive Performance Evaluation of Image Quality Assessment Algorithms
inferredcites →https://doi.org/10.1109/acssc.2014.7094795openalex-snapshot
Comparison of SNR and Peak-SNR (PSNR) as performance measures and signals for peak-limited two-dimensional (2D) pixelated optical wireless communication
inferredcites →https://doi.org/10.1109/icassp.2006.1660446openalex-snapshot
Image Matching by Normalized Cross-Correlation
inferredcites →https://doi.org/10.1109/icip.2010.5651745openalex-snapshot
A two-stage framework for blind image quality assessment
inferredcites →https://doi.org/10.1109/iisa.2017.8316385openalex-snapshot
Comparison of objective quality models for adaptive bit-streaming services
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.2010.2045550openalex-snapshot
A DCT Statistics-Based Blind Image Quality Index
inferredcites →https://doi.org/10.1109/lsp.2013.2296038openalex-snapshot
No-Reference Quality Assessment of JPEG Images via a Quality Relevance Map
inferredcites →https://doi.org/10.1109/lsp.2014.2304714openalex-snapshot
Image Quality Assessment with Degradation on Spatial Structure
inferredcites →https://doi.org/10.1109/lsp.2014.2372333openalex-snapshot
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics
inferredcites →https://doi.org/10.1109/msp.2008.930649openalex-snapshot
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
inferredcites →https://doi.org/10.1109/msp.2011.942471openalex-snapshot
Reduced- and No-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/ncc.2015.7084843openalex-snapshot
Blind image quality evaluation using perception based features
inferredcites →https://doi.org/10.1109/tbc.2018.2818402openalex-snapshot
Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images
inferredcites →https://doi.org/10.1109/tcyb.2015.2392129openalex-snapshot
No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments
inferredcites →https://doi.org/10.1109/tip.2006.881959openalex-snapshot
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
inferredcites →https://doi.org/10.1109/tip.2008.2011760openalex-snapshot
A No-Reference Objective Image Sharpness Metric Based on the Notion of Just Noticeable Blur (JNB)
inferredcites →https://doi.org/10.1109/tip.2011.2109730openalex-snapshot
FSIM: A Feature Similarity Index for Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2011.2131660openalex-snapshot
A No-Reference Image Blur Metric Based on the Cumulative Probability of Blur Detection (CPBD)
inferredcites →https://doi.org/10.1109/tip.2012.2191563openalex-snapshot
Blind Image Quality Assessment: A Natural Scene Statistics Approach in the DCT Domain
inferredcites →https://doi.org/10.1109/tip.2013.2251643openalex-snapshot
Image Sharpness Assessment Based on Local Phase Coherence
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.2015.2456502openalex-snapshot
Referenceless Prediction of Perceptual Fog Density and Perceptual Image Defogging
inferredcites →https://doi.org/10.1109/tnn.2011.2120620openalex-snapshot
Blind Image Quality Assessment Using a General Regression Neural Network
inferredcites →https://doi.org/10.1109/tnnls.2017.2649101openalex-snapshot
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data
inferredcites →https://doi.org/10.1109/wacv56688.2023.00249openalex-snapshot
No Reference Opinion Unaware Quality Assessment of Authentically Distorted Images
inferredcites →https://doi.org/10.1117/1.3267105openalex-snapshot
Most apparent distortion: full-reference image quality assessment and the role of strategy
inferredcites →https://doi.org/10.1117/12.862431openalex-snapshot
Image quality assessment and human visual system
inferredcites →https://doi.org/10.1145/3343036.3352493openalex-snapshot
Comparison of subjective methods, with and without explicit reference, for quality assessment of 3D graphics
inferredcites →https://doi.org/10.1145/3581783.3612443openalex-snapshot
Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment
inferredcites →https://doi.org/10.1146/annurev.neuro.24.1.1193openalex-snapshot
Natural Image Statistics and Neural Representation
inferredcites →https://doi.org/10.1385/ni:4:3:243openalex-snapshot
No-Reference Image Quality Metrics for Structural MRI
inferredcites →https://doi.org/10.2139/ssrn.4694365openalex-snapshot
Review of the Image Quality Assessment Methods for the Compressed Images
inferredcites →https://doi.org/10.3390/app112411659openalex-snapshot
Integrating Image Quality Enhancement Methods and Deep Learning Techniques for Remote Sensing Scene Classification
inferredcites →https://doi.org/10.3390/app13106350openalex-snapshot
Objective Prediction of Human Visual Acuity Using Image Quality Metrics
inferredcites →https://doi.org/10.3390/jimaging10050113openalex-snapshot
Review of Image Quality Assessment Methods for Compressed Images
inferredcites →https://doi.org/10.3390/rs15235507openalex-snapshot
UAVs and 3D City Modeling to Aid Urban Planning and Historic Preservation: A Systematic Review
inferredcites →https://doi.org/10.3390/rs5126539openalex-snapshot
Spatial Quality Assessment of Pan-Sharpened High Resolution Satellite Imagery Based on an Automatically Estimated Edge Based Metric
inferredcites →https://doi.org/10.3390/s21030994openalex-snapshot
No Reference, Opinion Unaware Image Quality Assessment by Anomaly Detection
inferredcites →https://doi.org/10.4236/jcc.2019.73002openalex-snapshot
Image Quality Assessment through FSIM, SSIM, MSE and PSNR—A Comparative Study
inferredcites →https://doi.org/10.48550/arxiv.1604.00546openalex-snapshot
Image Quality Assessment for Performance Evaluation of Focus Measure Operators
inferredcites →https://doi.org/10.48550/arxiv.1904.08879openalex-snapshot
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast Enhancement
inferredcites →https://doi.org/10.5120/21263-3846openalex-snapshot
Image Fusion in Remote Sensing Applications: A Review
inferredcites →https://doi.org/10.5566/ias.1534openalex-snapshot
NO-REFERENCE IMAGE QUALITY MEASURE FOR IMAGES WITH MULTIPLE DISTORTIONS USING RANDOM FORESTS FOR MULTI METHOD FUSION
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