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Image Quality Assessment

Papers

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Showing 601–650 of 732 papers

TitleStatusHype
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural NetworkCode0
A comprehensive evaluation of full-reference image quality assessment algorithms on KADID-10k—0
Learning to Blindly Assess Image Quality in the Laboratory and WildCode1
Multi-atlas image registration of clinical data with automated quality assessment using ventricle segmentation—0
Stereoscopic Omnidirectional Image Quality Assessment Based on Predictive Coding Theory—0
Towards Document Image Quality Assessment: A Text Line Based Framework and A Synthetic Text Line Image Dataset—0
Saliency detection based on structural dissimilarity induced by image quality assessment modelCode0
Unsupervised Deep Contrast Enhancement with Power Constraint for OLED Displays—0
Image quality assessment for determining efficacy and limitations of Super-Resolution Convolutional Neural Network (SRCNN)—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Coupled Learning for Facial Deblur—0
No-Reference Quality Assessment of Contrast-Distorted Images using Contrast EnhancementCode0
dipIQ: Blind Image Quality Assessment by Learning-to-Rank Discriminable Image Pairs—0
Image Quality Assessment for Omnidirectional Cross-reference Stitching—0
Real-Time Quality Assessment of Pediatric MRI via Semi-Supervised Deep Nonlocal Residual Neural Networks—0
Effective Aesthetics Prediction with Multi-level Spatially Pooled FeaturesCode0
Hyperparameter Optimization in Black-box Image Processing using Differentiable ProxiesCode0
Quality-aware Unpaired Image-to-Image Translation—0
Novel quantitative indicators of digital ophthalmoscopy image quality—0
Deep Optimization model for Screen Content Image Quality Assessment using Neural Networks—0
Semantically Interpretable and Controllable Filter Sets—0
Exploiting Unlabeled Data in CNNs by Self-supervised Learning to RankCode0
A Novel Just-Noticeable-Difference-based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions—0
Robust statistics and no-reference image quality assessment in Curvelet domainCode0
Adversarial training with cycle consistency for unsupervised super-resolution in endomicroscopy—0
No reference image quality assessment metric based on regional mutual information among images—0
High Throughput Computation of Reference Ranges of Biventricular Cardiac Function on the UK Biobank Population Cohort—0
Center Emphasized Visual Saliency and a Contrast-based Full Reference Image Quality Index—0
No-Reference Color Image Quality Assessment: From Entropy to Perceptual QualityCode1
Why Are Deep Representations Good Perceptual Quality Features?—0
Image Quality Assessment and Color DifferenceCode0
MS-UNIQUE: Multi-model and Sharpness-weighted Unsupervised Image Quality EstimationCode0
Boosting in Image Quality AssessmentCode0
A Comparative Study of Quality and Content-Based Spatial Pooling Strategies in Image Quality AssessmentCode0
Generating Adaptive and Robust Filter Sets Using an Unsupervised Learning Framework—0
PerSIM: Multi-resolution Image Quality Assessment in the Perceptually Uniform Color Domain—0
BLeSS: Bio-inspired Low-level Spatiochromatic Similarity Assisted Image Quality AssessmentCode0
ReSIFT: Reliability-Weighted SIFT-based Image Quality AssessmentCode0
Deep Face Quality Assessment—0
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning—0
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur ImagesCode0
UNIQUE: Unsupervised Image Quality EstimationCode0
CSV: Image Quality Assessment Based on Color, Structure, and Visual System—0
Perceptual Image Quality Assessment through Spectral Analysis of Error Representations—0
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?Code0
Deep Learning using K-space Based Data Augmentation for Automated Cardiac MR Motion Artefact Detection—0
Towards a Semantic Perceptual Image Metric—0
CG-DIQA: No-reference Document Image Quality Assessment Based on Character Gradient—0
A Machine-learning framework for automatic reference-free quality assessment in MRI—0
Blind Predicting Similar Quality Map for 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