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 76–100 of 983 papers

TitleStatusHype
UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater ImagesCode0
Bayesian Neural Networks for One-to-Many Mapping in Image EnhancementCode2
Enhanced Confocal Laser Scanning Microscopy with Adaptive Physics Informed Deep Autoencoders—0
Where Do You Go? Pedestrian Trajectory Prediction using Scene Features—0
Quality Enhancement of Radiographic X-ray Images by Interpretable Mapping—0
DLEN: Dual Branch of Transformer for Low-Light Image Enhancement in Dual DomainsCode0
FLOL: Fast Baselines for Real-World Low-Light EnhancementCode1
Natural Language Supervision for Low-light Image Enhancement—0
Underwater Image Enhancement using Generative Adversarial Networks: A Survey—0
HipyrNet: Hypernet-Guided Feature Pyramid network for mixed-exposure correction—0
Color Correction Meets Cross-Spectral Refinement: A Distribution-Aware Diffusion for Underwater Image Restoration—0
Recognition-Oriented Low-Light Image Enhancement based on Global and Pixelwise Optimization—0
Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark AnalysisCode1
Generalized Task-Driven Medical Image Quality Enhancement with Gradient Promotion—0
Conditional Consistency Guided Image Translation and EnhancementCode1
Multi-Modal Synergistic Implicit Image Enhancement for Efficient Optical Flow Estimation—0
Low-Light Image Enhancement via Generative Perceptual PriorsCode1
WeatherGS: 3D Scene Reconstruction in Adverse Weather Conditions via Gaussian SplattingCode2
SDM-Car: A Dataset for Small and Dim Moving Vehicles Detection in Satellite VideosCode0
Underwater Image Restoration via Polymorphic Large Kernel CNNsCode1
Rethinking Model Redundancy for Low-light Image Enhancement—0
Toward Highly Efficient Semantic-Guided Machine Vision for Low-Light Object DetectionCode1
SeagrassFinder: Deep Learning for Eelgrass Detection and Coverage Estimation in the Wild—0
DarkIR: Robust Low-Light Image RestorationCode3
VIIS: Visible and Infrared Information Synthesis for Severe Low-light Image EnhancementCode0
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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