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Image Quality Assessment

Papers

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Showing 426–450 of 732 papers

TitleStatusHype
Adaptive Mixed-Scale Feature Fusion Network for Blind AI-Generated Image Quality Assessment—0
A Dark and Bright Channel Prior Guided Deep Network for Retinal Image Quality Assessment—0
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics—0
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
A Deep Retinal Image Quality Assessment Network with Salient Structure Priors—0
A Detail Based Method for Linear Full Reference Image Quality Prediction—0
Advanced Image Quality Assessment for Hand- and Fingervein Biometrics—0
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy—0
A Haar Wavelet-Based Perceptual Similarity Index for Image Quality Assessment—0
AI-Generated Image Quality Assessment Based on Task-Specific Prompt and Multi-Granularity Similarity—0
AIGIQA-20K: A Large Database for AI-Generated Image Quality Assessment—0
Algorithm Selection for Image Quality Assessment—0
A Lightweight Parallel Framework for Blind Image Quality Assessment—0
A Machine-learning framework for automatic reference-free quality assessment in MRI—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—0
An Attention-Driven Approach of No-Reference Image Quality Assessment—0
An edge detection-based deep learning approach for tear meniscus height measurement—0
An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images—0
A New Image Quality Database for Multiple Industrial Processes—0
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps—0
A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy—0
A Novel Automatic Real-time Motion Tracking Method for Magnetic Resonance Imaging-guided Radiotherapy: Leveraging the Enhanced Tracking-Learning-Detection Framework with Automatic Segmentation—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System—0
A Perceptually Weighted Rank Correlation Indicator for Objective Image Quality Assessment—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