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 551–575 of 983 papers

TitleStatusHype
A Deep-Learning-Based Label-free No-Reference Image Quality Assessment Metric: Application in Sodium MRI Denoising—0
A Deep-Learning Framework for Improving COVID-19 CT Image Quality and Diagnostic Accuracy—0
ADNP-15: An Open-Source Histopathological Dataset for Neuritic Plaque Segmentation in Human Brain Whole Slide Images with Frequency Domain Image Enhancement for Stain Normalization—0
Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy—0
Advancements and Trends in Ultra-High-Resolution Image Processing: An Overview—0
A framework for river connectivity classification using temporal image processing and attention based neural networks—0
A Fusion Adversarial Underwater Image Enhancement Network with a Public Test Dataset—0
A Generative Adversarial Approach with Residual Learning for Dust and Scratches Artifacts Removal—0
A Generative Approach for Detection-driven Underwater Image Enhancement—0
AgentPolyp: Accurate Polyp Segmentation via Image Enhancement Agent—0
AGLLDiff: Guiding Diffusion Models Towards Unsupervised Training-free Real-world Low-light Image Enhancement—0
A hierarchical approach to deep learning and its application to tomographic reconstruction—0
A Lightweight Low-Light Image Enhancement Network via Channel Prior and Gamma Correction—0
ALL-E: Aesthetics-guided Low-light Image Enhancement—0
Alpha-rooting color image enhancement method by two-side 2-D quaternion discrete Fourier transform followed by spatial transformation—0
A method for Cloud Mapping in the Field of View of the Infra-Red Camera during the EUSO-SPB1 flight—0
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement—0
An Adaptive Underwater Image Enhancement Framework via Multi-Domain Fusion and Color Compensation—0
An Algebraical Model for Gray Level Images—0
Analysis of Multiscale Wavelet-based Fractional Gradient-Anisotropic Diffusion Fusion for single hazy and underwater image enhancement—0
Analysis of proposed PDE-based underwater image enhancement algorithms—0
Analytical-Heuristic Modeling and Optimization for Low-Light Image Enhancement—0
An approach for underwater image enhancement based on color correction and dehazing—0
An approach to image denoising using manifold approximation without clean images—0
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics—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