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Image Quality Assessment

Papers

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Showing 551–600 of 732 papers

TitleStatusHype
Comprehensive evaluation of no-reference image quality assessment algorithms on KADID-10k database—0
Convolutional Neural Network for Blur Images Detection as an Alternative for Laplacian Method—0
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning—0
Cuid: A new study of perceived image quality and its subjective assessment—0
Critical analysis on the reproducibility of visual quality assessment using deep featuresCode0
Face Image Quality Assessment: A Literature Survey—0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos—0
Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks—0
Image quality assessment for closed-loop computer-assisted lung ultrasound—0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation—0
Full Reference Screen Content Image Quality Assessment by Fusing Multi-level Structure SimilarityCode0
Contrastive Explanations in Neural NetworksCode0
No-Reference Image Quality Assessment Based on the Fusion of Statistical and Perceptual FeaturesCode0
PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration—0
A Benchmark dataset for both underwater image enhancement and underwater object detection—0
Semi-Supervised Learning for Fetal Brain MRI Quality Assessment with ROI consistency—0
An Unsupervised Information-Theoretic Perceptual Quality Metric—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
Local semi-supervised approach to brain tissue classification in child brain MRI—0
Fusion of visible and infrared images via complex function—0
CatSIM: A Categorical Image Similarity Metric—0
Towards Robust Classification with Image Quality Assessment—0
Blind Quality Assessment for Image Superresolution Using Deep Two-Stream Convolutional Networks—0
The Role of Stem Noise in Visual Perception and Image Quality Measurement—0
Theoretical Insights into the Use of Structural Similarity Index In Generative Models and Inferential Autoencoders—0
Evaluation of Rounding Functions in Nearest-Neighbor Interpolation—0
Adaboost Neural Network And Cyclopean View For No-reference Stereoscopic Image Quality AssessmentCode0
Active Fine-Tuning from gMAD Examples Improves Blind Image Quality Assessment—0
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks—0
Disentangling Image Distortions in Deep Feature Space—0
Deep No-reference Tone Mapped Image Quality Assessment—0
Learning Numerical Observers using Unsupervised Domain Adaptation—0
DeepFL-IQA: Weak Supervision for Deep IQA Feature LearningCode0
Subjective Annotation for a Frame Interpolation Benchmark using Artefact Amplification—0
Image Seam-Carving by Controlling Positional Distribution of Seams—0
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture QualityCode0
Subjective Quality Assessment of Ground-based Camera Images—0
Automatic quality assessment for 2D fetal sonographic standard plane based on multi-task learning—0
Diagnostic Image Quality Assessment and Classification in Medical Imaging: Opportunities and Challenges—0
Degenerative Adversarial NeuroImage Nets for Brain Scan Simulations: Application in Ageing and Dementia—0
Learning from Irregularly Sampled Data for Endomicroscopy Super-resolution: A Comparative Study of Sparse and Dense Approaches—0
Potential of deep features for opinion-unaware, distortion-unaware, no-reference image quality assessmentCode0
Controllable List-wise Ranking for Universal No-reference Image Quality AssessmentCode0
CD2 : Combined Distances of Contrast Distributions for the Assessment of Perceptual Quality of Image Processing—0
Quality Aware Generative Adversarial NetworksCode0
Domain Fingerprints for No-reference Image Quality Assessment—0
Correlation Maximized Structural Similarity Loss for Semantic Segmentation—0
Image Quality Assessment for Rigid Motion Compensation—0
Subjective and Objective De-raining Quality Assessment Towards Authentic Rain Image—0
Analysis and Interpretation of Deep CNN Representations as Perceptual Quality Features—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