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Image Quality Assessment

Papers

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Showing 451–475 of 732 papers

TitleStatusHype
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global FeaturesCode0
Automated SSIM Regression for Detection and Quantification of Motion Artefacts in Brain MR ImagesCode0
Pixel-by-pixel Mean Opinion Score (pMOS) for No-Reference Image Quality Assessment—0
Subjective Quality Assessment for Images Generated by Computer Graphics—0
A No-Reference Deep Learning Quality Assessment Method for Super-resolution Images Based on Frequency Maps—0
Blind Surveillance Image Quality Assessment via Deep Neural Network Combined with the Visual Saliency—0
Deep Neural Network for Blind Visual Quality Assessment of 4K Content—0
Perceptual Quality Assessment for Fine-Grained Compressed Images—0
Empirical Study of Quality Image Assessment for Synthesis of Fetal Head Ultrasound Imaging with DCGANsCode0
Textural-Perceptual Joint Learning for No-Reference Super-Resolution Image Quality AssessmentCode0
Full-Reference Calibration-Free Image Quality Assessment—0
MSTRIQ: No Reference Image Quality Assessment Based on Swin Transformer with Multi-Stage Fusion—0
Deep Decomposition and Bilinear Pooling Network for Blind Night-Time Image Quality Evaluation—0
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion—0
SPQE: Structure-and-Perception-Based Quality Evaluation for Image Super-Resolution—0
Utility-Oriented Underwater Image Quality Assessment Based on Transfer Learning—0
FundusQ-Net: a Regression Quality Assessment Deep Learning Algorithm for Fundus Images Quality Grading—0
Assessing the ability of generative adversarial networks to learn canonical medical image statistics—0
Multi-Scale Features and Parallel Transformers Based Image Quality AssessmentCode0
UID2021: An Underwater Image Dataset for Evaluation of No-reference Quality Assessment MetricsCode0
Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment—0
Confusing Image Quality Assessment: Towards Better Augmented Reality ExperienceCode0
Visual Mechanisms Inspired Efficient Transformers for Image and Video Quality Assessment—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalizationCode0
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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