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 201–225 of 983 papers

TitleStatusHype
Poisson2Sparse: Self-Supervised Poisson Denoising From a Single ImageCode1
TreEnhance: A Tree Search Method For Low-Light Image EnhancementCode1
Reinforced Swin-Convs Transformer for Underwater Image EnhancementCode1
Exposure Correction Model to Enhance Image QualityCode1
Learn from Unpaired Data for Image Restoration: A Variational Bayes ApproachCode1
MultiPathGAN: Structure Preserving Stain Normalization using Unsupervised Multi-domain Adversarial Network with Perception LossCode1
Harmonizing Pathological and Normal Pixels for Pseudo-healthy SynthesisCode1
Underwater Light Field Retention : Neural Rendering for Underwater ImagingCode1
Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document EnhancementCode1
Abandoning the Bayer-Filter to See in the DarkCode1
Half Wavelet Attention on M-Net+ for Low-Light Image EnhancementCode1
Domain Adaptation for Underwater Image Enhancement via Content and Style SeparationCode1
DocEnTr: An End-to-End Document Image Enhancement TransformerCode1
Deep Color Consistent Network for Low-Light Image EnhancementCode1
Image-Adaptive YOLO for Object Detection in Adverse Weather ConditionsCode1
Semantically Contrastive Learning for Low-light Image EnhancementCode1
Learning Deep Context-Sensitive Decomposition for Low-Light Image EnhancementCode1
Unsupervised Low-Light Image Enhancement via Histogram Equalization PriorCode1
Low-light Image Enhancement via Breaking Down the DarknessCode1
Decoupled Low-light Image EnhancementCode1
U-shape Transformer for Underwater Image EnhancementCode1
Illumination-Aware Image Quality Assessment for Enhanced Low-light ImageCode1
NOD: Taking a Closer Look at Detection under Extreme Low-Light Conditions with Night Object Detection DatasetCode1
Burst Image Restoration and EnhancementCode1
Enhance Images as You Like with Unpaired LearningCode1
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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