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Image Quality Assessment

Papers

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Showing 301–350 of 732 papers

TitleStatusHype
Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset—0
Comprehensive evaluation of no-reference image quality assessment algorithms on authentic distortions—0
A Shift-insensitive Full Reference Image Quality Assessment Model Based on Quadratic Sum of Gradient Magnitude and LOG signals—0
Artifact- and content-specific quality assessment for MRI with image rulers—0
When No-Reference Image Quality Models Meet MAP Estimation in Diffusion Latents—0
Generalized Visual Quality Assessment of GAN-Generated Face Images—0
Comparison-based Image Quality Assessment for Parameter Selection—0
A Causal Framework for Aligning Image Quality Metrics and Deep Neural Network Robustness—0
Image quality assessment measure based on natural image statistics in the Tetrolet domain—0
Impact of Face Alignment on Face Image Quality—0
Interpretable Image Quality Assessment via CLIP with Multiple Antonym-Prompt Pairs—0
Fusion of visible and infrared images via complex function—0
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading—0
Color image quality assessment measure using multivariate generalized Gaussian distribution—0
Fundus Image Quality Assessment and Enhancement: a Systematic Review—0
FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment—0
1st Place Solutions for UG2+ Challenge 2022 ATMOSPHERIC TURBULENCE MITIGATION—0
Full RGB Just Noticeable Difference (JND) Modelling—0
ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining—0
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy—0
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework—0
GenzIQA: Generalized Image Quality Assessment using Prompt-Guided Latent Diffusion Models—0
Full Reference Objective Quality Assessment for Reconstructed Background Images—0
Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database—0
GMC-IQA: Exploiting Global-correlation and Mean-opinion Consistency for No-reference Image Quality Assessment—0
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model—0
Full-reference image quality assessment by combining global and local distortion measures—0
Gradient magnitude similarity deviation on multiple scales for color image quality assessment—0
Why Are Deep Representations Good Perceptual Quality Features?—0
GreenBIQA: A Lightweight Blind Image Quality Assessment Method—0
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches—0
Group MAD Competition - A New Methodology to Compare Objective Image Quality Models—0
Full-reference image quality assessment-based B-mode ultrasound image similarity measure—0
Full-Reference Calibration-Free Image Quality Assessment—0
CLIP-AGIQA: Boosting the Performance of AI-Generated Image Quality Assessment with CLIP—0
FSIM: A Feature Similarity Index for Image Quality Assessment—0
FS-BAND: A Frequency-Sensitive Banding Detector—0
HarmonyIQA: Pioneering Benchmark and Model for Image Harmonization Quality Assessment—0
A proposal project for a blind image quality assessment by learning distortions from the full reference image quality assessments—0
Advanced Image Quality Assessment for Hand- and Fingervein Biometrics—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k—0
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient—0
Image Quality Assessment for Rigid Motion Compensation—0
Image quality assessment: from error visibility to structural similarity—0
How Quality Affects Deep Neural Networks in Fine-Grained Image Classification—0
Image Quality Assessment in the Modern Age—0
Hybrid Image Resolution Quality Metric (HIRQM):A Comprehensive Perceptual Image Quality Assessment Framework—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Center Emphasized Visual Saliency and a Contrast-based Full Reference Image Quality Index—0
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All datasetsMSU NR VQA DatabaseKonIQ-10kMSU FR VQA Database

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SPAQ MT-SSRCC0.88—Unverified
2SPAQ BLSRCC0.88—Unverified
3SPAQ MT-ASRCC0.88—Unverified
4KonCept512SRCC0.84—Unverified
5MEONSRCC0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1RealQASRCC0.95—Unverified
2OneAlignSRCC0.94—Unverified
3UNIQASRCC0.93—Unverified
4KonCept512SRCC0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1FSIMSRCC0.9—Unverified
2DSSSRCC0.9—Unverified
3MS-GMSDSRCC0.89—Unverified
4GMSDSRCC0.89—Unverified