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 226–250 of 983 papers

TitleStatusHype
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video EnhancementCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
Low-Light Image Enhancement with Normalizing FlowCode1
Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the DarkCode1
A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distributionCode1
StarEnhancer: Learning Real-Time and Style-Aware Image EnhancementCode1
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical ImagesCode1
ReLLIE: Deep Reinforcement Learning for Customized Low-Light Image EnhancementCode1
R2RNet: Low-light Image Enhancement via Real-low to Real-normal NetworkCode1
Uformer: A General U-Shaped Transformer for Image RestorationCode1
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation NetworkCode1
Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space EmbeddingCode1
Low-Light Image and Video Enhancement Using Deep Learning: A SurveyCode1
Degrade is Upgrade: Learning Degradation for Low-light Image EnhancementCode1
UIEC^2-Net: CNN-based Underwater Image Enhancement Using Two Color SpaceCode1
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve EstimationCode1
Self-supervised Low Light Image Enhancement and DenoisingCode1
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo ScanningCode1
Underwater Image Enhancement via Learning Water Type Desensitized RepresentationsCode1
Twice Mixing: A Rank Learning based Quality Assessment Approach for Underwater Image EnhancementCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Shallow-UWnet : Compressed Model for Underwater Image EnhancementCode1
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image EnhancementCode1
Representative Color Transform for Image EnhancementCode1
Towards Unsupervised Deep Image Enhancement with Generative Adversarial NetworkCode1
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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