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 226–250 of 983 papers

TitleStatusHype
Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual PerceptionCode1
Lesion Focused Super-ResolutionCode1
SonarT165: A Large-scale Benchmark and STFTrack Framework for Acoustic Object TrackingCode1
STAR: A Structure-Aware Lightweight Transformer for Real-Time Image EnhancementCode1
Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo ScanningCode1
A Large-scale Film Style Dataset for Learning Multi-frequency Driven Film EnhancementCode1
LighTDiff: Surgical Endoscopic Image Low-Light Enhancement with T-DiffusionCode1
Synergistic Multiscale Detail Refinement via Intrinsic Supervision for Underwater Image EnhancementCode1
SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real ImagesCode1
Boosting Object Detection with Zero-Shot Day-Night Domain AdaptationCode1
Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation SurveillanceCode1
Low-Light Image and Video Enhancement Using Deep Learning: A SurveyCode1
Low-Light Image Enhancement with Normalizing FlowCode1
Multimodal Transformers for Wireless Communications: A Case Study in Beam PredictionCode1
Degrade is Upgrade: Learning Degradation for Low-light Image EnhancementCode1
Denoising Diffusion Post-Processing for Low-Light Image EnhancementCode1
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-ResolutionCode1
DisC-Diff: Disentangled Conditional Diffusion Model for Multi-Contrast MRI Super-ResolutionCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
Low-light Image Enhancement via Breaking Down the DarknessCode1
LLDiffusion: Learning Degradation Representations in Diffusion Models for Low-Light Image EnhancementCode1
Blind Video Temporal Consistency via Deep Video PriorCode1
LoLI-Street: Benchmarking Low-Light Image Enhancement and BeyondCode1
DGD-cGAN: A Dual Generator for Image Dewatering and RestorationCode1
1st Place Solution to MultiEarth 2023 Challenge on Multimodal SAR-to-EO Image TranslationCode1
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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