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 576–600 of 983 papers

TitleStatusHype
A New Framework for Retinex based Color Image Enhancement using Particle Swarm Optimization—0
Capsule Endoscopy Image Enhancement for Small Intestinal Villi Clarity—0
An Interval Type-2 Fuzzy Approach to Automatic PDF Generation for Histogram Specification—0
A novel approach for glaucoma classification by wavelet neural networks using graph-based, statisitcal features of qualitatively improved images—0
A Novel Color Image Enhancement Method by the Transformation of Color Images to 2-D Grayscale Images—0
A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models—0
A Novel Underwater Image Enhancement and Improved Underwater Biological Detection Pipeline—0
AOSR-Net: All-in-One Sandstorm Removal Network—0
A PDE-based log-agnostic illumination correction algorithm—0
Application of Compromising Evolution in Multi-objective Image Error Concealment—0
Application of Visual Communication in Image Enhancement and Optimization of Human–Computer Interface—0
A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement—0
A Retinal Image Enhancement Technique for Blood Vessel Segmentation Algorithm—0
A Retinex based GAN Pipeline to Utilize Paired and Unpaired Datasets for Enhancing Low Light Images—0
A Retinex-based Image Enhancement Scheme with Noise Aware Shadow-up Function—0
A review of advancements in low-light image enhancement using deep learning—0
A Survey of Fish Tracking Techniques Based on Computer Vision—0
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings—0
Artificial Intelligence-Based Image Enhancement in PET Imaging: Noise Reduction and Resolution Enhancement—0
Artwork painting identification method for panorama based on adaptive rectilinear projection and optimized ASIFT—0
A Structured Approach to Predicting Image Enhancement Parameters—0
A sub-Riemannian model of the visual cortex with frequency and phase—0
A survey of modern optical character recognition techniques—0
A Survey on Deep learning based Document Image Enhancement—0
A Switched View of Retinex: Deep Self-Regularized Low-Light Image Enhancement—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
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