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 151–175 of 983 papers

TitleStatusHype
Context-Aware Optimal Transport Learning for Retinal Fundus Image EnhancementCode0
FreeEnhance: Tuning-Free Image Enhancement via Content-Consistent Noising-and-Denoising Process—0
Retinex-RAWMamba: Bridging Demosaicing and Denoising for Low-Light RAW Image EnhancementCode1
Unrevealed Threats: A Comprehensive Study of the Adversarial Robustness of Underwater Image Enhancement Models—0
Modeling Image Tone Dichotomy with the Power Function—0
Rethinking the Atmospheric Scattering-driven Attention via Channel and Gamma Correction Priors for Low-Light Image EnhancementCode0
RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image EnhancementCode0
KAN See In the DarkCode1
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image EnhancementCode1
AllWeatherNet:Unified Image Enhancement for Autonomous Driving under Adverse Weather and Lowlight-conditionsCode2
SINET: Sparsity-driven Interpretable Neural Network for Underwater Image EnhancementCode0
Enhancing Underwater Imaging with 4-D Light Fields: Dataset and MethodCode0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
O-Mamba: O-shape State-Space Model for Underwater Image EnhancementCode1
Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video EnhancementCode1
Prompt-Guided Image-Adaptive Neural Implicit Lookup Tables for Interpretable Image EnhancementCode1
SDI-Net: Toward Sufficient Dual-View Interaction for Low-light Stereo Image Enhancement—0
UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image EnhancementCode0
Harnessing Multi-resolution and Multi-scale Attention for Underwater Image RestorationCode0
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
Latent Disentanglement for Low Light Image Enhancement—0
Joint Image De-noising and Enhancement for Satellite-Based SAR—0
Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image EnhancementCode2
Underwater Object Detection Enhancement via Channel StabilizationCode0
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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
3AdaIntPSNR on proRGB25.49—Unverified
4RSFNet-mapPSNR 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