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Convolutional neural networks yield activations from spatial frequency content in an image, allowing them to learn and recognize features of classification targets. This paper explores the spatial frequency response of CNNs in the context of an imaging system's modulation transfer function. Deriving the relationship between CNN design and imaging system design is a fundamental first step in optimizing these systems at the system level.
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(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Page King, R. John Koshel, "Convolutional neural networks and the modulation transfer function," Proc. SPIE 12675, Applications of Machine Learning 2023, 1267509 (10 October 2023); https://doi.org/10.1117/12.2672623