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 251–275 of 983 papers

TitleStatusHype
Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGANCode1
Retinex-inspired Unrolling with Cooperative Prior Architecture Search for Low-light Image EnhancementCode1
Raw Image DeblurringCode1
NICER: Aesthetic Image Enhancement with Humans in the LoopCode1
Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays ImagesCode1
Legacy Photo Editing with Learned Noise PriorCode1
Blind Video Temporal Consistency via Deep Video PriorCode1
Two-stage generative adversarial networks for document image binarization with color noise and background removalCode1
Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-timeCode1
DALE : Dark Region-Aware Low-light Image EnhancementCode1
Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement NetworksCode1
Low-Light Maritime Image Enhancement with Regularized Illumination Optimization and Deep Noise SuppressionCode1
PieNet: Personalized Image Enhancement NetworkCode1
Recurrent Exposure Generation for Low-Light Face DetectionCode1
URIE: Universal Image Enhancement for Visual Recognition in the WildCode1
Early Exit or Not: Resource-Efficient Blind Quality Enhancement for Compressed ImagesCode1
Burst Photography for Learning to Enhance Extremely Dark ImagesCode1
Modeling and Enhancing Low-quality Retinal Fundus ImagesCode1
Deploying Image Deblurring across Mobile Devices: A Perspective of Quality and LatencyCode1
Learning an Adaptive Model for Extreme Low-light Raw Image ProcessingCode1
Image Demoireing with Learnable Bandpass FiltersCode1
DeepLPF: Deep Local Parametric Filters for Image EnhancementCode1
Polarized Reflection Removal with Perfect Alignment in the WildCode1
Learning Multi-Scale Photo Exposure CorrectionCode1
Pre-processing Image using Brightening, CLAHE and RETINEXCode1
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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