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

Showing 76100 of 983 papers

TitleStatusHype
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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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1HG-MTFEPSNR on proRGB25.69Unverified
2PQDynamicISPPSNR on proRGB25.53Unverified
3AdaIntPSNR on proRGB25.49Unverified
4RSFNet-mapPSNR on proRGB25.49Unverified
5SepLUTPSNR on proRGB25.47Unverified
6MTFEPSNR on proRGB25.46Unverified
73D LUTPSNR on proRGB25.21Unverified
8RetinexformerPSNR on sRGB24.94Unverified
94D LUTPSNR on proRGB24.61Unverified
10DIFAR (MSCA, level 1)PSNR on proRGB24.2Unverified
#ModelMetricClaimedVerifiedStatus
1ESDNet-LPSNR30.11Unverified
2MBCNNPSNR30.03Unverified
3ESDNetPSNR29.81Unverified
4Uformer-BPSNR29.28Unverified
5MopNetPSNR27.75Unverified
6DMCNNPSNR26.77Unverified
#ModelMetricClaimedVerifiedStatus
1Exposure-slotPSNR23.18Unverified
2CSECPSNR22.73Unverified
3LCDPNetPSNR22.17Unverified
4IATPSNR20.34Unverified
5MSECPSNR20.21Unverified
#ModelMetricClaimedVerifiedStatus
1TreEnhanceDeltaE11.25Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.45Unverified
#ModelMetricClaimedVerifiedStatus
1CIDNetAverage PSNR13.43Unverified