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...
and the waveguide is terminated in such a way that minimal light is reflected back into the tri-coupler. The light exiting the first waveguide12is reflected from an object surface24back into the waveguide12. The interferometer50may include a lens assembly26and an autofocus system38which focuses ...
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...