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Image Quality Assessment with Degradation on Spatial Structure

https://doi.org/10.1109/lsp.2014.2304714
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What this work says

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

inferredcites →https://doi.org/10.1016/0031-3203(95)00067-4openalex-snapshot
A comparative study of texture measures with classification based on featured distributions
inferredcites →https://doi.org/10.1016/j.jvcir.2011.01.005openalex-snapshot
Perceptual visual quality metrics: A survey
inferredcites →https://doi.org/10.1016/j.jvcir.2012.04.010openalex-snapshot
Self-similarity based structural regularity for just noticeable difference estimation
inferredcites →https://doi.org/10.1023/a:1009715923555openalex-snapshot
A Tutorial on Support Vector Machines for Pattern Recognition
inferredcites →https://doi.org/10.1109/icpr.1994.576366openalex-snapshot
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions
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/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2005.859378openalex-snapshot
Image information and visual quality
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.2011.2175935openalex-snapshot
Image Quality Assessment Based on Gradient Similarity
inferredcites →https://doi.org/10.1109/tip.2012.2214048openalex-snapshot
Perceptual Quality Metric With Internal Generative Mechanism
inferredcites →https://doi.org/10.1109/tmm.2011.2152382openalex-snapshot
Image Quality Assessment by Separately Evaluating Detail Losses and Additive Impairments
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/10.1117/1.3267105openalex-snapshot
Most apparent distortion: full-reference image quality assessment and the role of strategy
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3356307openalex-extracted
Survey Paper: Image Quality Assessment
inferred← citeshttps://doi.org/10.1007/978-981-16-2336-3_43openalex-snapshot
Image Quality Assessment with Local Contrast Estimator
inferred← citeshttps://doi.org/10.1007/s11042-015-2663-9openalex-snapshot
Image quality assessment using edge based features
inferred← citeshttps://doi.org/10.1007/s11042-016-3755-xopenalex-snapshot
Image quality assessment with lasso regression and pairwise score differences
inferred← citeshttps://doi.org/10.1007/s11042-016-3779-2openalex-snapshot
LAP: a bio-inspired local image structure descriptor and its applications
inferred← citeshttps://doi.org/10.1016/j.cmpb.2016.03.011openalex-snapshot
Complex wavelet based quality assessment for AS-OCT images with application to Angle Closure Glaucoma diagnosis
inferred← citeshttps://doi.org/10.1016/j.dsp.2016.04.006openalex-snapshot
Blind image quality assessment with the histogram sequences of high-order local derivative patterns
inferred← citeshttps://doi.org/10.1016/j.ijleo.2016.04.002openalex-snapshot
Local spiking pattern and its application to rotation- and illumination-invariant texture classification
inferred← citeshttps://doi.org/10.1016/j.image.2018.02.010openalex-snapshot
Using multiple spatio-temporal features to estimate video quality
inferred← citeshttps://doi.org/10.1016/j.image.2019.03.005openalex-snapshot
Quality assessment for view synthesis using low-level and mid-level structural representation
inferred← citeshttps://doi.org/10.1016/j.image.2019.03.011openalex-snapshot
No-reference perceptual quality assessment of stereoscopic images based on binocular visual characteristics
inferred← citeshttps://doi.org/10.1016/j.jvcir.2015.04.001openalex-snapshot
GridSAR: Grid strength and regularity for robust evaluation of blocking artifacts in JPEG images
inferred← citeshttps://doi.org/10.1016/j.neucom.2015.09.057openalex-snapshot
A new blind image quality framework based on natural color statistic
inferred← citeshttps://doi.org/10.1016/j.sigpro.2017.12.020openalex-snapshot
Quality assessment method based on exposure condition analysis for tone-mapped high-dynamic-range images
inferred← citeshttps://doi.org/10.1016/j.tcs.2019.10.038openalex-snapshot
Image quality assessment using BSIF, CLBP, LCP, and LPQ operators
inferred← citeshttps://doi.org/10.1049/iet-ipr.2016.0177openalex-snapshot
When spatial distribution unites with spatial contrast: an effective blind image quality assessment model
inferred← citeshttps://doi.org/10.1109/access.2019.2941112openalex-snapshot
Learning a No-Reference Quality Predictor of Stereoscopic Images by Visual Binocular Properties
inferred← citeshttps://doi.org/10.1109/access.2021.3112741openalex-snapshot
No-Reference Image Quality Assessment Based on Edge Pattern Feature in the Spatial Domain
inferred← citeshttps://doi.org/10.1109/bracis.2017.16openalex-snapshot
Blind Image Quality Assessment Using Local Variant Patterns
inferred← citeshttps://doi.org/10.1109/get.2016.7916762openalex-snapshot
Visual orientation and recognition of an image
inferred← citeshttps://doi.org/10.1109/icip49359.2023.10222216openalex-snapshot
Blind Quality Assessment of Light Field Image Based on Spatio-Angular Textural Variation
inferred← citeshttps://doi.org/10.1109/lsp.2014.2360764openalex-snapshot
2014 Index IEEE Signal Processing Letters Vol. 21
inferred← citeshttps://doi.org/10.1109/lsp.2015.2500819openalex-snapshot
Decision Fusion for Image Quality Assessment using an Optimization Approach
inferred← citeshttps://doi.org/10.1109/lsp.2022.3145326openalex-snapshot
SPIQ: A Self-Supervised Pre-Trained Model for Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/lsp.2024.3392671openalex-snapshot
Channel Attention for No-Reference Image Quality Assessment in DCT Domain
inferred← citeshttps://doi.org/10.1109/lsp.2024.3475912openalex-snapshot
FsPN: Blind Image Quality Assessment Based on Feature-Selected Pyramid Network
inferred← citeshttps://doi.org/10.1109/tbc.2016.2638620openalex-snapshot
Utilizing Dictionary Learning and Machine Learning for Blind Quality Assessment of 3-D Images
inferred← citeshttps://doi.org/10.1109/tbme.2015.2493580openalex-snapshot
Application-Driven No-Reference Quality Assessment for Dermoscopy Images With Multiple Distortions
inferred← citeshttps://doi.org/10.1109/tim.2022.3232792openalex-snapshot
HVS-Based Perception-Driven No-Reference Omnidirectional Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/tip.2015.2460467openalex-snapshot
Visual Orientation Selectivity Based Structure Description
inferred← citeshttps://doi.org/10.1109/tip.2016.2598492openalex-snapshot
DCT-QM: A DCT-Based Quality Degradation Metric for Image Quality Optimization Problems
inferred← citeshttps://doi.org/10.1109/tip.2017.2665972openalex-snapshot
Image Quality Assessment Using Directional Anisotropy Structure Measurement
inferred← citeshttps://doi.org/10.1109/tmm.2017.2700206openalex-snapshot
Blind Image Quality Assessment Based on Rank-Order Regularized Regression
inferred← citeshttps://doi.org/10.1109/tmm.2017.2703148openalex-snapshot
Visual Importance and Distortion Guided Deep Image Quality Assessment Framework
inferred← citeshttps://doi.org/10.1109/tmm.2018.2829607openalex-snapshot
Blind Quality Index for Multiply Distorted Images Using Biorder Structure Degradation and Nonlocal Statistics
inferred← citeshttps://doi.org/10.1109/tmm.2018.2839529openalex-snapshot
No-Reference Image Quality Assessment Using Orthogonal Color Planes Patterns
inferred← citeshttps://doi.org/10.1117/12.2071438openalex-snapshot
Orientation selectivity based structure for texture classification
inferred← citeshttps://doi.org/10.1117/12.2228241openalex-snapshot
Learning the histogram sequences of generalized local ternary patterns for blind image quality assessment
inferred← citeshttps://doi.org/10.1145/3204949.3204960openalex-snapshot
Blind image quality assessment based on multiscale salient local binary patterns
inferred← citeshttps://doi.org/10.1145/3635716openalex-snapshot
Auxiliary Information Guided Self-attention for Image Quality Assessment
inferred← citeshttps://doi.org/10.1155/2021/8834652openalex-snapshot
No‐Reference Stereoscopic Image Quality Assessment Based on Binocular Statistical Features and Machine Learning
inferred← citeshttps://doi.org/10.1186/s13173-018-0073-3openalex-snapshot
Referenceless image quality assessment by saliency, color-texture energy, and gradient boosting machines
inferred← citeshttps://doi.org/10.1371/journal.pone.0158333openalex-snapshot
Full-Reference Image Quality Assessment with Linear Combination of Genetically Selected Quality Measures
inferred← citeshttps://doi.org/10.1515/msr-2016-0040openalex-snapshot
A Regression-Based Family of Measures for Full-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1587/transinf.2016edp7244openalex-snapshot
Image Quality Assessment Based on Multi-Order Local Features Description, Modeling and Quantification
inferred← citeshttps://doi.org/10.2139/ssrn.5397990openalex-snapshot
From Pixels to Perception: A Deep Dive into Image Quality Assessment Techniques
inferred← citeshttps://doi.org/10.24561/00019023openalex-snapshot
Full-Reference and Non-Reference Image Quality Assessment Based on Optimization Technique
inferred← citeshttps://doi.org/10.3390/jimaging8060173openalex-snapshot
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features
inferred← citeshttps://doi.org/10.3390/jimaging8080224openalex-snapshot
Full-Reference Image Quality Assessment Based on an Optimal Linear Combination of Quality Measures Selected by Simulated Annealing
inferred← citeshttps://doi.org/10.3390/jimaging9060116openalex-snapshot
An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.3390/s22186775openalex-snapshot
A Human Visual System Inspired No-Reference Image Quality Assessment Method Based on Local Feature Descriptors
inferred← citeshttps://doi.org/10.51415/10321/2931openalex-snapshot
Colour image segmentation using perceptual colour difference saliency algorithm
inferred← citeshttps://doi.org/10.5505/pajes.2020.69158openalex-snapshot
Image quality assessment based on manifold distortion
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