Publication | Closed Access
Performance enhancement of ROTDR using deep convolutional neural networks
16
Citations
8
References
2018
Year
Convolutional Neural NetworkEngineeringSparse ImagingDeblurringImage AnalysisFeed-forward ImageComputational ImagingVideo TransformerTemperature UncertaintyHealth SciencesData AugmentationPerformance EnhancementMachine VisionMedical ImagingComputer EngineeringInverse ProblemsComputer ScienceDeconvolutionDeep LearningComputer VisionBiomedical ImagingConvolutional Neural NetworksVideo DenoisingImage DenoisingImage Restoration
A feed-forward image denoising convolutional neural networks is exploited to enhance the signal-to-noise ratio of ROTDR (~13.4 dB) without loss of measurement accuracy (temperature uncertainty and spatial resolution), even at low sampling rates.
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