WebDeep learning has been developing rapidly, and many holographic applications have been investigated using deep learning. They have shown that deep learning can outperform previous physically-based calculations using lightwave simulation and signal processing. WebHolographic displays are considered to be promising technologies for augmented and virtual reality devices. Using spatial light modulators (SLMs), they can directly modulate the wavefront of light. Through the modulation of the wavefront, they can provide observers three-dimensional imagery. However, they suffer from a large computation load, and it is …
Phase imaging for digital holography with deep learning
WebMay 8, 2024 · Abstract We present a method for computer-generated holography based on deep learning. The inverse process of light propagation is regressed with a number of computationally generated speckle data sets. This method enables noniterative calculation of computer-generated holograms (CGHs). WebWe propose a digital holographic reconstruction algorithm based on deep learning with imperfect data. Experiments prove that this algorithm can reduce the impact of … lawn mower repair marathon fl
Deep-learning-generated holography - Optica
WebNov 10, 2024 · An outlook of several promising directions to widen the use of deep learning in various DH applications is provided, with a brief introduction to digital holographic imaging and a summary of the most relevant deep learning techniques for DH. Recent years have witnessed the unprecedented progress of deep learning applications in … Deep-learning-based holographic phase recovery, image enhancement/reconstruction, and cross-modality image transformations have profound and broad implications in the field of digital holography and coherent imaging systems, with numerous applications in biomedical … See more One of the most important tasks in holography is phase recovery, as an opto-electronic sensor is only sensitive to the intensity of impinging … See more A recent work5 further demonstrated the ability of a trained deep neural network to perform simultaneously autofocusing and phase recovery to … See more One of the landmark attributes of holography is its ability to encode the 3D information of the sample volume using a snapshot 2D interference pattern, that is, the hologram. However, a reconstructed hologram traditionally … See more In addition to the reconstruction of holograms, deep learning has also been used to perform resolution enhancement in coherent imaging systems in two different ways7: (1) … See more WebQuantum many-body problem with exponentially large degrees of freedom can be reduced to a tractable computational form by neural network method [G. Carleo and M. Troyer, … lawn mower repair marion ohio