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 526–550 of 983 papers

TitleStatusHype
Zero-LED: Zero-Reference Lighting Estimation Diffusion Model for Low-Light Image Enhancement—0
Zero-Shot Low Light Image Enhancement with Diffusion Prior—0
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model—0
Learning a No-Reference Quality Assessment Model of Enhanced Images With Big Data—0
Super-Resolution Generative Adversarial Networks based Video Enhancement—0
A Poisson-Guided Decomposition Network for Extreme Low-Light Image Enhancement—0
Physics Informed Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement—0
2nd Place Solutions for UG2+ Challenge 2022 -- D^3Net for Mitigating Atmospheric Turbulence from Images—0
3D CBCT Challenge 2024: Improved Cone Beam CT Reconstruction using SwinIR-Based Sinogram and Image Enhancement—0
3D Conditional Generative Adversarial Networks to enable large-scale seismic image enhancement—0
4D LUT: Learnable Context-Aware 4D Lookup Table for Image Enhancement—0
6D Camera Relocalization in Visually Ambiguous Extreme Environments—0
A Benchmark dataset for both underwater image enhancement and underwater object detection—0
A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement—0
A Case Study of Image Enhancement Algorithms' Effectiveness of Improving Neural Networks' Performance on Adverse Images—0
Accurate super-resolution low-field brain MRI—0
A Comparative Study of Filtering Approaches Applied to Color Archival Document Images—0
A Comparative Study of Histogram Equalization Based Image Enhancement Techniques for Brightness Preservation and Contrast Enhancement—0
A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution—0
A comprehensive benchmark analysis for sand dust image reconstruction—0
A Comprehensive Survey on Image Signal Processing Approaches for Low-Illumination Image Enhancement—0
A Correction-Based Dynamic Enhancement Framework towards Underwater Detection—0
Adaptive Frequency Enhancement Network for Single Image Deraining—0
Adaptive GNN for Image Analysis and Editing—0
Stable Optimization for Large Vision Model Based Deep Image Prior in Cone-Beam CT Reconstruction—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