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

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Showing 51–100 of 983 papers

TitleStatusHype
GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse ConditionsCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
Generalized Lightness Adaptation with Channel Selective NormalizationCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
DGD-cGAN: A Dual Generator for Image Dewatering and RestorationCode1
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint NetworkCode1
A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distributionCode1
A Layer-Wise Tokens-to-Token Transformer Network for Improved Historical Document Image EnhancementCode1
Degrade is Upgrade: Learning Degradation for Low-light Image EnhancementCode1
7T MRI Synthesization from 3T AcquisitionsCode1
GDB: Gated convolutions-based Document BinarizationCode1
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Getting to Know Low-light Images with The Exclusively Dark DatasetCode1
For Overall Nighttime Visibility: Integrate Irregular Glow Removal With Glow-Aware EnhancementCode1
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency InformationCode1
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation LearningCode1
3D-StyleGAN: A Style-Based Generative Adversarial Network for Generative Modeling of Three-Dimensional Medical ImagesCode1
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility EnhancementCode1
Five A^+ Network: You Only Need 9K Parameters for Underwater Image EnhancementCode1
Few-Shot Domain Adaptation for Low Light RAW Image EnhancementCode1
FLIGHT Mode On: A Feather-Light Network for Low-Light Image EnhancementCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
DeepLPF: Deep Local Parametric Filters for Image EnhancementCode1
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo ScanningCode1
FLOL: Fast Baselines for Real-World Low-Light EnhancementCode1
Fundus image enhancement through direct diffusion bridgesCode1
Exposure Correction Model to Enhance Image QualityCode1
ExpoMamba: Exploiting Frequency SSM Blocks for Efficient and Effective Image EnhancementCode1
ExposureDiffusion: Learning to Expose for Low-light Image EnhancementCode1
Simplifying Low-Light Image Enhancement Networks with Relative Loss FunctionsCode1
Decoupled Low-light Image EnhancementCode1
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays ImagesCode1
Exposure-slot: Exposure-centric representations learning with Slot-in-Slot Attention for Region-aware Exposure CorrectionCode1
Conditional Consistency Guided Image Translation and EnhancementCode1
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image GenerationCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
CUNSB-RFIE: Context-aware Unpaired Neural Schr"odinger Bridge in Retinal Fundus Image EnhancementCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Equipping Diffusion Models with Differentiable Spatial Entropy for Low-Light Image EnhancementCode1
DALE : Dark Region-Aware Low-light Image EnhancementCode1
Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image EnhancementCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
End-To-End Underwater Video Enhancement: Dataset and ModelCode1
Enhance Images as You Like with Unpaired LearningCode1
Empowering Low-Light Image Enhancer through Customized Learnable PriorsCode1
A Gated Cross-domain Collaborative Network for Underwater Object DetectionCode1
Deep Color Consistent Network for Low-Light Image EnhancementCode1
A Generalized Physical-knowledge-guided Dynamic Model for Underwater Image EnhancementCode1
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color FilterCode1
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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