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 151–175 of 983 papers

TitleStatusHype
Deep Color Consistent Network for Low-Light Image EnhancementCode1
High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation NetworkCode1
CDAN: Convolutional dense attention-guided network for low-light image enhancementCode1
Degradation-invariant Enhancement of Fundus Images via Pyramid Constraint NetworkCode1
A New Benchmark In Vivo Paired Dataset for Laparoscopic Image De-smokingCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
HighlightNet: Highlighting Low-Light Potential Features for Real-Time UAV TrackingCode1
Improving Underwater Visual Tracking With a Large Scale Dataset and Image EnhancementCode1
DeepLPF: Deep Local Parametric Filters for Image EnhancementCode1
DNF: Decouple and Feedback Network for Seeing in the DarkCode1
DMFourLLIE: Dual-Stage and Multi-Branch Fourier Network for Low-Light Image EnhancementCode1
End-To-End Underwater Video Enhancement: Dataset and ModelCode1
Learning A Physical-aware Diffusion Model Based on Transformer for Underwater Image EnhancementCode1
DocEnTr: An End-to-End Document Image Enhancement TransformerCode1
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation SurveillanceCode1
Domain Adaptation for Underwater Image Enhancement via Content and Style SeparationCode1
A CNN-Based Blind Denoising Method for Endoscopic ImagesCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timeCode1
Human Guided Ground-truth Generation for Realistic Image Super-resolutionCode1
Abandoning the Bayer-Filter to See in the DarkCode1
Gap-closing Matters: Perceptual Quality Evaluation and Optimization of Low-Light Image EnhancementCode1
DALE : Dark Region-Aware Low-light Image EnhancementCode1
Effective Document Image Enhancement Using tokens-to-token Transformer NetworkCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
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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