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Learning A Generic Adaptive Wavelet Shrinkage Function For Denoising

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IEEE ICASSP 2020 Virtual Conference May 2020

The rise of machine learning in image processing has created a gap between trainable data-driven and classical model-driven approaches: While learning-based models often show superior performance, classical ones are often more transparent. To reduce this

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Learning A Generic Adaptive Wavelet Shrinkage Function For Denoising

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The rise of machine learning in image processing has created a gap between trainable data-driven and classical model-driven approaches: While learning-based models often show superior performance, classical ones are often more transparent. To reduce this