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 676–700 of 983 papers

TitleStatusHype
Identification of chicken egg fertility using SVM classifier based on first-order statistical feature extraction—0
Enhanced total variation minimization for stable image reconstruction—0
SGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
Learning Color Representations for Low-Light Image Enhancement—0
Exposure Normalization and Compensation for Multiple-Exposure Correction—0
GIQE: Generic Image Quality Enhancement via Nth Order Iterative Degradation—0
Brain Tumor Classification by Cascaded Multiscale Multitask Learning Framework Based on Feature Aggregation—0
Image Edge Restoring Filter—0
Invertible Network for Unpaired Low-light Image Enhancement—0
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy—0
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution—0
Attention based Broadly Self-guided Network for Low light Image EnhancementCode0
Image Enhancement via Bilateral Learning—0
Seeing Objects in dark with Continual Contrastive Learning—0
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN—0
A Survey on Deep learning based Document Image Enhancement—0
Event Neural NetworksCode0
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
Task-Driven Deep Image Enhancement Network for Autonomous Driving in Bad Weather—0
SurroundNet: Towards Effective Low-Light Image EnhancementCode0
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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