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 401–425 of 983 papers

TitleStatusHype
Enhancing Low-Light Images with Kolmogorov–Arnold Networks in Transformer AttentionCode0
Luminance-Guided Chrominance Image Enhancement for HEVC Intra CodingCode0
Enhance to Read Better: A Multi-Task Adversarial Network for Handwritten Document Image EnhancementCode0
Low-light image enhancement based on sharpening-smoothing image filterCode0
Low-Light Image and Video Enhancement: A Comprehensive Survey and BeyondCode0
Low-Light Image Enhancement Based on Cell Vibration Energy Model and Lightness DifferenceCode0
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and SegmentationCode0
Linear Array Network for Low-light Image EnhancementCode0
LLNet: A Deep Autoencoder Approach to Natural Low-light Image EnhancementCode0
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware GuidanceCode0
Single image deep defocus estimation and its applicationsCode0
CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI ReconstructionCode0
LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object DetectionCode0
LIME: Low-light Image Enhancement via Illumination Map EstimationCode0
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image EnhancementCode0
EENet: Frequency-Aware and Spatially Multiscale Network for Single Image DehazingCode0
EdgeFool: An Adversarial Image Enhancement FilterCode0
Analyzing Noise Models and Advanced Filtering Algorithms for Image EnhancementCode0
Edge-Computing-Enabled Deep Learning Approach for Low-Light Satellite Image EnhancementCode0
Stochastic Capsule Endoscopy Image EnhancementCode0
ECAFormer: Low-light Image Enhancement using Cross AttentionCode0
MAC-Lookup: Multi-Axis Conditional Lookup Model for Underwater Image EnhancementCode0
Dual High-Order Total Variation Model for Underwater Image RestorationCode0
Brightness Perceiving for Recursive Low-Light Image EnhancementCode0
Learning to Kindle the StarlightCode0
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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