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 101–150 of 983 papers

TitleStatusHype
Effective Document Image Enhancement Using tokens-to-token Transformer NetworkCode1
KAN See In the DarkCode1
Degrade is Upgrade: Learning Degradation for Low-light Image EnhancementCode1
EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule EndoscopyCode1
A Generic Fundus Image Enhancement Network Boosted by Frequency Self-supervised Representation LearningCode1
Enhanced MRI brain tumor detection and classification via topological data analysis and low-rank tensor decompositionCode1
EnlightenGAN: Deep Light Enhancement without Paired SupervisionCode1
Enhancing and Adapting in the Clinic: Source-free Unsupervised Domain Adaptation for Medical Image EnhancementCode1
Enlighten Anything: When Segment Anything Model Meets Low-Light Image EnhancementCode1
Learning Enhancement From Degradation: A Diffusion Model For Fundus Image EnhancementCode1
A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distributionCode1
Exchange means change: an unsupervised single-temporal change detection framework based on intra- and inter-image patch exchangeCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
Abandoning the Bayer-Filter to See in the DarkCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays ImagesCode1
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation NetworkCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
High-Fidelity Document Stain Removal via A Large-Scale Real-World Dataset and A Memory-Augmented TransformerCode1
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV TrackingCode1
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint NetworkCode1
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement NetworksCode1
Exposure-slot: Exposure-centric representations learning with Slot-in-Slot Attention for Region-aware Exposure CorrectionCode1
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image EnhancementCode1
Adversarial Color Enhancement: Generating Unrestricted Adversarial Images by Optimizing a Color FilterCode1
Domain Adaptation for Underwater Image Enhancement via Content and Style SeparationCode1
HUPE: Heuristic Underwater Perceptual Enhancement with Semantic Collaborative LearningCode1
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo ScanningCode1
A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smokingCode1
Global Structure-Aware Diffusion Process for Low-Light Image EnhancementCode1
Getting to Know Low-light Images with The Exclusively Dark DatasetCode1
Generalized Lightness Adaptation with Channel Selective NormalizationCode1
Glow in the Dark: Low-Light Image Enhancement with External MemoryCode1
Fundus image enhancement through direct diffusion bridgesCode1
From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility EnhancementCode1
GDB: Gated convolutions-based Document BinarizationCode1
Burst Photography for Learning to Enhance Extremely Dark ImagesCode1
DeepLPF: Deep Local Parametric Filters for Image EnhancementCode1
Burst Image Restoration and EnhancementCode1
Burst Denoising of Dark ImagesCode1
Adaptive deep learning framework for robust unsupervised underwater image enhancementCode1
FourLLIE: Boosting Low-Light Image Enhancement by Fourier Frequency InformationCode1
Burst Super-Resolution with Diffusion Models for Improving Perceptual QualityCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
Deep Convolutional Autoencoders for reconstructing magnetic resonance images of the healthy brainCode1
Deep Color Consistent Network for Low-Light Image EnhancementCode1
GDIP: Gated Differentiable Image Processing for Object-Detection in Adverse ConditionsCode1
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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