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 926–950 of 983 papers

TitleStatusHype
Learning-based Image Enhancement for Visual Odometry in Challenging HDR Environments—0
Learning Dynamic Guidance for Depth Image Enhancement—0
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and SegmentationCode0
Improved underwater image enhancement algorithms based on partial differential equations (PDEs)—0
Convolutional Neural Pyramid for Image Processing—0
Locally-adapted convolution-based super-resolution of irregularly-sampled ocean remote sensing data—0
A Structured Approach to Predicting Image Enhancement Parameters—0
Joint Regression and Ranking for Image Enhancement—0
Relative Learning from Web Images for Content-adaptive Enhancement—0
Removal of Salt and Pepper noise from Gray-Scale and Color Images: An Adaptive Approach—0
Language Independent Single Document Image Super-Resolution using CNN for improved recognition—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Deep Class Aware DenoisingCode0
Microscopic Muscle Image Enhancement—0
Analysis of proposed PDE-based underwater image enhancement algorithms—0
LIME: Low-light Image Enhancement via Illumination Map EstimationCode0
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches—0
Clearing the Skies: A deep network architecture for single-image rain removalCode0
Does V-NIR based Image Enhancement Come with Better Features?—0
Fractional Calculus In Image Processing: A Review—0
New wavelet-based superresolution algorithm for speckle reduction in SAR images—0
Perfect Fingerprint Orientation Fields by Locally Adaptive Global Models—0
LIME: A Method for Low-light IMage Enhancement—0
Mutual-Structure for Joint Filtering—0
Fast and Effective L0 Gradient Minimization by Region FusionCode0
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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