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Image Quality Assessment

Papers

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Showing 426–450 of 732 papers

TitleStatusHype
MUG: A Parameterless No-Reference JPEG Quality Evaluator Robust to Block Size and Misalignment—0
Multi-Marker Similarity enables reduced-reference and interpretable image quality assessment in optical microscopy—0
Multimodal Human-AI Synergy for Medical Imaging Quality Control: A Hybrid Intelligence Framework with Adaptive Dataset Curation and Closed-Loop Evaluation—0
Multi-task deep CNN model for no-reference image quality assessment on smartphone camera photos—0
Multi-task Feature Enhancement Network for No-Reference Image Quality Assessment—0
Natural Color Image Enhancement based on Modified Multiscale Retinex Algorithm and Performance Evaluation usingWavelet Energy—0
Non-Reference Quality Monitoring of Digital Images using Gradient Statistics and Feedforward Neural Networks—0
No reference image quality assessment metric based on regional mutual information among images—0
No-Reference Image Quality Assessment via Feature Fusion and Multi-Task Learning—0
No-Reference Light Field Image Quality Assessment Based on Spatial-Angular Measurement—0
No-Reference Quality Assessment for 360-degree Images by Analysis of Multi-frequency Information and Local-global Naturalness—0
No-reference Screen Content Image Quality Assessment with Unsupervised Domain Adaptation—0
No Reference Stereoscopic Video Quality Assessment Using Joint Motion and Depth Statistics—0
Novel quantitative indicators of digital ophthalmoscopy image quality—0
NTIRE 2021 Challenge on Perceptual Image Quality Assessment—0
NTIRE 2022 Challenge on Perceptual Image Quality Assessment—0
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge—0
On color image quality assessment using natural image statistics—0
On the Applicability of Synthetic Data for Face Recognition—0
On the Use of Deep Learning for Blind Image Quality Assessment—0
Multi-Sensor Diffusion-Driven Optical Image Translation for Large-Scale Applications—0
Painting Outside as Inside: Edge Guided Image Outpainting via Bidirectional Rearrangement with Progressive Step Learning—0
Paired Image-to-Image Translation Quality Assessment Using Multi-Method Fusion—0
Patch-based Probabilistic Image Quality Assessment for Face Selection and Improved Video-based Face Recognition—0
Patch-wise Features for Blur Image Classification—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