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 51–75 of 983 papers

TitleStatusHype
HVI-CIDNet+: Beyond Extreme Darkness for Low-Light Image EnhancementCode1
Exposure-slot: Exposure-centric representations learning with Slot-in-Slot Attention for Region-aware Exposure CorrectionCode1
RT-X Net: RGB-Thermal cross attention network for Low-Light Image EnhancementCode1
URWKV: Unified RWKV Model with Multi-state Perspective for Low-light Image RestorationCode1
See through the Dark: Learning Illumination-affined Representations for Nighttime Occupancy PredictionCode1
TS-Diff: Two-Stage Diffusion Model for Low-Light RAW Image EnhancementCode1
SonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object TrackingCode1
Towards Scale-Aware Low-Light Enhancement via Structure-Guided Transformer DesignCode1
Noise Calibration and Spatial-Frequency Interactive Network for STEM Image EnhancementCode1
DPF-Net: Physical Imaging Model Embedded Data-Driven Underwater Image EnhancementCode1
FLOL: Fast Baselines for Real-World Low-Light EnhancementCode1
Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark AnalysisCode1
Conditional Consistency Guided Image Translation and EnhancementCode1
Low-Light Image Enhancement via Generative Perceptual PriorsCode1
Underwater Image Restoration via Polymorphic Large Kernel CNNsCode1
Toward Highly Efficient Semantic-Guided Machine Vision for Low-Light Object DetectionCode1
Phaseformer: Phase-based Attention Mechanism for Underwater Image Restoration and BeyondCode1
MambaNUT: Nighttime UAV Tracking via Mamba-based Adaptive Curriculum LearningCode1
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image EnhancementCode1
HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative LearningCode1
Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided DiffusionCode1
Underwater Image Enhancement with Cascaded Contrastive LearningCode1
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented TransformerCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
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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