Deep learning for digital holography
WebApr 10, 2024 · Projecting high-quality three-dimensional (3D) scenes via computer-generated holography is a sought-after goal for virtual and augmented reality, human–computer interaction and interactive learning. 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
Deep learning for digital holography
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WebMar 10, 2024 · Video 4. This video demonstrates real-time 3D hologram computation on a NVIDIA TITAN RTX GPU. The video is captured by a Panasonic GH5 mirrorless camera with a Lumix 10-25 mm f/1.7 lens at 4K/60 ... WebMar 22, 2024 · Deep Learning-Based Holographic Microscope. The proposed deep learning-based holographic microscope includes a set of digital holographic …
WebMar 30, 2024 · Deep holography: AI boots holography and vice versa With the explosive growth of mathematical optimization and computing hardware, deep neural networks … WebNov 22, 2024 · Here, we survey recent developments in various DH applications powered by deep learning algorithms. This article starts with a brief introduction to digital …
WebOct 22, 2024 · Digital holography can provide quantitative phase images related to the morphology and content of biological samples. After the numerical image reconstruction, … 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 …
WebAug 16, 2024 · Go, T. & Lee, S. J. Deep learning-based digital in-line holographic microscopy for high resolution with extended field of view. Opt. Laser Technol. 113 , 77–86 (2024).
WebJan 1, 2024 · Digital holography records the entire wavefront of an object, including amplitude and phase. To reconstruct the object numerically, we can backpropagate the hologram with Fresnel–Kirchhoff integral-based algorithms such as the angular spectrum method and the convolution method. ... We propose an end-to-end deep learning … clorox wipes office depotWebApr 14, 2024 · WiMi's 3D object detection algorithm, which can simultaneously identify the category, spatial location, and 3D size of objects, dramatically improves the accuracy and efficiency of object ... bodybuilding gyms in austin texasWebNov 21, 2024 · A digital hologram can be captured from a physical object, or numerically generated from a computer graphic model. The digital hologram can be further processed and/or encrypted, and subsequently displayed with a high resolution device, or printed with a hologram printer. However, digital holography can be applied to capture, process, and ... bodybuilding gyms in laWebNov 10, 2024 · Deep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging … bodybuilding gyms in charleston scWeb3 Digital Holography Using Deep Learning 3.1 Depth Estimation. A general method for estimating the focus position is to obtain the most focused position by... 3.2 Phase Unwrapping. Phase unwrapping in physically … bodybuilding gyms in edinburghWebDeep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging from digital holograms … clorox wipes moldWebDeep 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. clorox wipes near me in stock