Deep learning for digital holography

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August undefined, 2024

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. WebOct 1, 2024 · Here, we propose a single-shot Fresnel incoherent correlation holography via deep learning based phase-shifting (FINCH/DLPS) method to realize rapid and high-precision image reconstruction using ...

Fourier Imager Network (FIN): A deep neural network for …

WebDeep learning techniques can be introduced into the digital holography to suppress the coherent noise. It is often necessary to first make a dataset of noisy and noise-free phase images to train the network. However, noise-free images are often difficult to obtain in practical holographic applications. Here we propose a label-free training algorithms … 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 … tic tac toe gegen computer

Deep learning in holography and coherent imaging

WebWith the rapid growth of computing and display technologies, digital holography (DH) has undergone significant advancement in the past two decades. Contemporary research works have enabled holography, a technology which is originally intended for displaying three-dimensional (3-D) images, to be deployed in numerous scientific, engineering, and bio … 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). 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. the low male voice part is called

Deep learning for digital holography: a review. Semantic Scholar

Deep-Learning Computational Holography: A Review (Invited)

WebJun 16, 2024 · The HoloSea: submersible digital in-line holographic microscope (DIHM) General DIHM designs for biological applications are reviewed in Garcia-Sucerquia et al. [] and Xu et al. [].A similar submersible DIHM, the 4-Deep HoloSea S5 Footnote 1 (92 × 351 mm, 2.6 kg), first introduced by Walcutt et al. [], was used here to image plankton … WebSince the invention of holography in 1940s, it has been widely used in the fields of optics. After the 1990s, digital holography (DH) developed rapidly, which features the acquisition and processing of holograms with digital cameras and computers, respectively. Generally, the full information, including amplitude and phase, of an optical wave ... tic-tac-toe game using pythonWebDec 2, 2024 · Digital holography has been widely used in many applications in the areas of phase contrast imaging [8,9], 3D microscopy [10,11], 3D object recognition [6,12], information security [13,14 ... tic tac toe gegen freunde

"WebNov 6, 2024 · Digital in-line holography (DIH) is broadly used to reconstruct 3D shapes of microscopic objects from their 2D holograms. One of the technical challenges in the reconstruction stage is eliminating the twin image originating from the phase-conjugate wavefront. The twin image removal is typically formulated as a non-linear inverse … " - Deep learning for digital holography

Deep learning for digital holography

Phase imaging for digital holography with deep learning

WebMar 10, 2024 · They used deep learning to accelerate computer-generated holography, allowing for real-time hologram generation. The team designed a convolutional neural network — a processing technique … 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, …

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WebOct 22, 2024 · Digital holography can provide quantitative phase images related to the morphology and content of biological samples. After the numerical image reconstruction, the phase values are limited between -π and π; thus, discontinuity may occur due to the modulo 2π operation. We propose a new deep learning …

WebDeep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging from digital holograms … 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).

Web3 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 … WebAug 20, 2024 · Two deep learning (DL) architectures are compared: Convolutional Neural Network (CNN)and Visual transformer (ViT). ViT and CNN are used to cope with the problem of auto-focusing as a classification problem. Compared to a first attempt [11] in which the distance between two consecutive classes was 100μm, our proposal allows us …

WebAug 15, 2024 · Scattering imaging as a noise removal in digital holography by using deep learning. Meihua Liao 6,1, Yuliu Feng 6,2, Dajiang Lu 2, Xianye Li 2, ... DL-based method to achieve the goal of imaging through different scattering media under the framework of off-axis digital holography. As a result, the severe ill-posed inverse problem in scattering ...

WebJan 1, 2024 · In this paper various learning based methods for enhancing digital and computer-generated holography are analysed. We demonstrate a deep learning model … the low mays全民造星WebJan 27, 2024 · Y4-Net: a deep learning solution to one-shot dual-wavelength digital holographic reconstruction. Article. Full-text available. Jun 2024. Kaiqiang Wang. Kemao Qian. Jianglei Di. Jianlin Zhao. View. the low mays - 成吉思漢和WebNov 10, 2024 · Deep learning has been widely employed for digital holographic reconstruction. In this paper, we present a learning-based method for phase imaging … the low mapWebApr 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 ... thelowmaysWeb期刊：Measurement Science and Technology文献作者：Shujun Ma; Rui Fang; Yu Luo; Qi Liu; Shiliang Wang; Xu Zhou出版日期：2024-10-1DOI号：10.1088/1361- ... Phase-aberration compensation via deep learning in digital holographic microscopy tic tac toe gegen computer pythonWebin this book. Digital holography, including inline, off-axis, Gabor digital holography, and phase shift digital holography, will also be explored. This book introduces applications of computer holography, including phase retrieval algorithm, holographic memory, holographic projection, and deep learning in computer holography, while explaining ... tic tac toe game with bean bagWebDec 1, 2024 · Deep learning enabled by neural networks is bringing a host of new opportunities for improving the reconstruction of images obtained from digital holography and coherent imaging schemes. In a ... the low mays 人生赢家