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 451–500 of 983 papers

TitleStatusHype
Low-Light Image Enhancement by Learning Contrastive Representations in Spatial and Frequency Domains—0
Neural Preset for Color Style TransferCode2
Implicit Neural Representation for Cooperative Low-light Image EnhancementCode2
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
Image Enhancement for Remote Photoplethysmography in a Low-Light EnvironmentCode0
Joint Multi-Scale Tone Mapping and Denoising for HDR Image EnhancementCode0
RSFNet: A White-Box Image Retouching Approach using Region-Specific Color FiltersCode1
MetaUE: Model-based Meta-learning for Underwater Image EnhancementCode0
Retinexformer: One-stage Retinex-based Transformer for Low-light Image EnhancementCode5
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image EnhancementCode1
Retinal Image Restoration using Transformer and Cycle-Consistent Generative Adversarial NetworkCode1
CUR Transformer: A Convolutional Unbiased Regional Transformer for Image DenoisingCode0
Bridging Synthetic and Real Images: a Transferable and Multiple Consistency aided Fundus Image Enhancement Framework—0
Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement—0
RSFDM-Net: Real-time Spatial and Frequency Domains Modulation Network for Underwater Image Enhancement—0
Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image EnhancementCode1
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real ImagesCode1
Effective Document Image Enhancement Using tokens-to-token Transformer NetworkCode1
A Correction-Based Dynamic Enhancement Framework towards Underwater Detection—0
OTRE: Where Optimal Transport Guided Unpaired Image-to-Image Translation Meets Regularization by EnhancingCode1
GDB: Gated convolutions-based Document BinarizationCode1
STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth EstimationCode1
UW-CVGAN: UnderWater Image Enhancement with Capsules Vectors Quantization—0
Rethinking low-cost microscopy workflow: Image enhancement using deep based Extended Depth of Field methodsCode1
Self-FuseNet: Data Free Unsupervised Remote Sensing Image Super-Resolution—0
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Soft Thresholding for Visual Image Enhancement—0
Self-supervised Domain Adaptation for Breaking the Limits of Low-quality Fundus Image Quality Enhancement—0
DarkVision: A Benchmark for Low-light Image/Video Perception—0
Low-Light Image Enhancement with Multi-Stage Residue Quantization and Brightness-Aware AttentionCode1
Visual Recognition-Driven Image Restoration for Multiple Degradation With Intrinsic Semantics Recovery—0
Learning a Simple Low-Light Image Enhancer From Paired Low-Light InstancesCode1
DNF: Decouple and Feedback Network for Seeing in the DarkCode1
You Do Not Need Additional Priors or Regularizers in Retinex-Based Low-Light Image Enhancement—0
Ultra-High-Definition Low-Light Image Enhancement: A Benchmark and Transformer-Based MethodCode2
SALVE: Self-supervised Adaptive Low-light Video Enhancement—0
Low-Light Image and Video Enhancement: A Comprehensive Survey and BeyondCode0
Adaptive deep learning framework for robust unsupervised underwater image enhancementCode1
WavEnhancer: Unifying Wavelet and Transformer for Image Enhancement—0
Dynamic Test-Time Augmentation via Differentiable FunctionsCode0
On the Robustness of Normalizing Flows for Inverse Problems in Imaging—0
Day2Dark: Pseudo-Supervised Activity Recognition beyond Silent Daylight—0
Three-stage binarization of color document images based on discrete wavelet transform and generative adversarial networksCode1
Mutual Guidance and Residual Integration for Image Enhancement—0
SLLEN: Semantic-aware Low-light Image Enhancement Network—0
Semantic-aware Texture-Structure Feature Collaboration for Underwater Image EnhancementCode1
DGD-cGAN: A Dual Generator for Image Dewatering and RestorationCode1
Learning to Kindle the StarlightCode0
Noise Self-Regression: A New Learning Paradigm to Enhance Low-Light Images Without Task-Related Data—0
Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges—0
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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