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 776–800 of 983 papers

TitleStatusHype
Unified-EGformer: Exposure Guided Lightweight Transformer for Mixed-Exposure Image Enhancement—0
Unified Representation Learning for Efficient Medical Image Analysis—0
Unifying Image Processing as Visual Prompting Question Answering—0
UnitModule: A Lightweight Joint Image Enhancement Module for Underwater Object Detection—0
Unlocking Masked Autoencoders as Loss Function for Image and Video Restoration—0
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
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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