Convolutional Neural Network Denoising of Focused Ion Beam Micrographs

2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP)(2021)

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摘要
Most research on deep learning algorithms for image denoising has focused on signal-independent additive noise. Focused ion beam (FIB) microscopy with direct secondary electron detection has an unusual Neyman Type A (compound Poisson) measurement model, and sample damage poses fundamental challenges in obtaining training data. Model-based estimation is difficult and ineffective because of the nonc...
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关键词
Deep learning,Adaptation models,Noise reduction,Training data,Signal processing algorithms,Convolutional neural networks,Noise measurement
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