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 626–650 of 983 papers

TitleStatusHype
Low-light Image Enhancement via Breaking Down the DarknessCode1
Decoupled Low-light Image EnhancementCode1
U-shape Transformer for Underwater Image EnhancementCode1
Image enhancement in acoustic-resolution photoacoustic microscopy enabled by a novel directional algorithm—0
Weighted Histogram Equalization Using Entropy of Probability Density Function—0
Reinforcement Learning of Self Enhancing Camera Image and Signal ProcessingCode0
Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement—0
Influence of image noise on crack detection performance of deep convolutional neural networks—0
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
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather—0
SurroundNet: Towards Effective Low-Light Image EnhancementCode0
Chromatic Aberration Recovery on Arbitrary Images—0
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement—0
Burst Image Restoration and EnhancementCode1
A Survey of Fish Tracking Techniques Based on Computer Vision—0
TSN-CA: A Two-Stage Network with Channel Attention for Low-Light Image Enhancement—0
DA-DRN: Degradation-Aware Deep Retinex Network for Low-Light Image Enhancement—0
Enhance Images as You Like with Unpaired LearningCode1
Semantic-Guided Zero-Shot Learning for Low-Light Image/Video EnhancementCode1
Adaptive Unfolding Total Variation Network for Low-Light Image EnhancementCode1
L2BGAN: An image enhancement model for image quality improvement and image analysis tasks without paired supervision—0
Underwater Image Enhancement Using Convolutional Neural Network—0
Low-Light Image Enhancement with Normalizing FlowCode1
Early Detection of Retinopathy of Prematurity stage using Deep Learning approach—0
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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
3AdaIntPSNR on proRGB25.49—Unverified
4RSFNet-mapPSNR 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