SOTAVerified

Image Enhancement

Image Enhancement is basically improving the interpretability or perception of information in images for human viewers and providing ‘better’ input for other automated image processing techniques. The principal objective of Image Enhancement is to modify attributes of an image to make it more suitable for a given task and a specific observer.

Source: A Comprehensive Review of Image Enhancement Techniques

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 501–550 of 983 papers

TitleStatusHype
Unpaired Image Enhancement Featuring Reinforcement-Learning-Controlled Image Editing Software—0
Unpaired Image Enhancement with Quality-Attention Generative Adversarial Network—0
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models—0
Unsupervised Image Prior via Prompt Learning and CLIP Semantic Guidance for Low-Light Image Enhancement—0
Unsupervised Low Light Image Enhancement Using SNR-Aware Swin Transformer—0
Unsupervised Low-light Image Enhancement with Lookup Tables and Diffusion Priors—0
Unsupervised Low-light Image Enhancement with Decoupled Networks—0
URIE: Universal Image Enhancement for Visual Recognition in the Wild—0
User-Guided Personalized Image Aesthetic Assessment based on Deep Reinforcement Learning—0
USFM: A Universal Ultrasound Foundation Model Generalized to Tasks and Organs towards Label Efficient Image Analysis—0
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization—0
Venn Diagram Multi-label Class Interpretation of Diabetic Foot Ulcer with Color and Sharpness Enhancement—0
Verification technology for finger vein biometric—0
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture—0
Visual Perception Model for Rapid and Adaptive Low-light Image Enhancement—0
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
Visual Text Meets Low-level Vision: A Comprehensive Survey on Visual Text Processing—0
VR-FuseNet: A Fusion of Heterogeneous Fundus Data and Explainable Deep Network for Diabetic Retinopathy Classification—0
WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond—0
WaterMamba: Visual State Space Model for Underwater Image Enhancement—0
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement—0
Weighted Histogram Equalization Using Entropy of Probability Density Function—0
When Image Decomposition Meets Deep Learning: A Novel Infrared and Visible Image Fusion Method—0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement—0
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
Zero-Shot Low Light Image Enhancement with Diffusion Prior—0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement—0
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement—0
2nd Place Solutions for UG2+ Challenge 2022 -- D^3Net for Mitigating Atmospheric Turbulence from Images—0
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement—0
3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement—0
4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement—0
6D Camera Relocalization in Visually Ambiguous Extreme Environments—0
A Benchmark dataset for both underwater image enhancement and underwater object detection—0
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
Accurate super-resolution low-field brain MRI—0
A Comparative Study of Filtering Approaches Applied to Color Archival Document Images—0
A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement—0
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution—0
A comprehensive benchmark analysis for sand dust image reconstruction—0
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement—0
A Correction-Based Dynamic Enhancement Framework towards Underwater Detection—0
Adaptive Frequency Enhancement Network for Single Image Deraining—0
Adaptive GNN for Image Analysis and Editing—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—0
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All datasetsMIT-Adobe 5kTIP 2018Exposure-ErrorsMIT-Adobe FiveKSICE-GradSICE-Mix

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HG-MTFEPSNR on proRGB25.69—Unverified
2PQDynamicISPPSNR on proRGB25.53—Unverified
3RSFNet-mapPSNR on proRGB25.49—Unverified
4AdaIntPSNR on proRGB25.49—Unverified
5SepLUTPSNR on proRGB25.47—Unverified
6MTFEPSNR on proRGB25.46—Unverified
73D LUTPSNR on proRGB25.21—Unverified
8RetinexformerPSNR on sRGB24.94—Unverified
94D LUTPSNR on proRGB24.61—Unverified
10DIFAR (MSCA, level 1)PSNR on proRGB24.2—Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR30.11—Unverified
2MBCNNPSNR30.03—Unverified
3ESDNetPSNR29.81—Unverified
4Uformer-BPSNR29.28—Unverified
5MopNetPSNR27.75—Unverified
6DMCNNPSNR26.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Exposure-slotPSNR23.18—Unverified
2CSECPSNR22.73—Unverified
3LCDPNetPSNR22.17—Unverified
4IATPSNR20.34—Unverified
5MSECPSNR20.21—Unverified
#ModelMetricClaimedVerifiedStatus
1TreEnhanceDeltaE11.25—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.43—Unverified