Performance of Autofocus Capability of Deep Convolutional Neural Networks in Digital Holographic Microscopy in Digital Holography and Three-Dimensional Imaging (OSA, 2017), p. W2A.5. T. Pitkäaho, A. Manninen, and T. J. Naughton Focus classification in digital holographic microscopy using deep co...
Deep learning methods for autofocus essentially use the neural network to estimate the defocus distance from the hologram (Fig.16), which can be regarded as either a classification problem100,101,102,103or a regression problem104,105,106,107,108,109,110. Fig. 16 Description of deep-learning-b...
Performance of Autofocus Capability of Deep Convolutional Neural Networks in Digital Holographic Microscopy in Digital Holography and Three-Dimensional Imaging (OSA, 2017), p. W2A.5. T. Pitkäaho, A. Manninen, and T. J. Naughton Focus classification in digital holographic microscopy using deep co...
Keywords: inverse synthetic aperture radar (ISAR); non-stationary platform; maneuvering target; autofocus; phase retrieval; oversampling smoothness (OSS) 1. Introduction ISAR imaging has been the focus of many researchers and operational users in the last few decades. ISAR imagery plays an important...