Accelerated generation of holograms with ultra-low memory symmetrically high-compressed look-up table

Computer-generated holography technology has been widely applied,and as research in this field deepens,the demand for memory and computational power in small AR and VR devices continues to increase.This paper presents a hologram generation method,i.e.,a symmetrically high-compressed look-up table method,which can reduce memory usage by50%.In offline computing,half of the basic horizontal and vertical modulation factors are stored,halving the memory requirements without affecting inline speed.Currently,its potential extends to various holographic applications,including the production of optical diffraction elements.

Bessel–Gaussian beam-based orbital angular momentum holography

Orbital angular momentum(OAM), as a new degree of freedom, has recently been applied in holography technology.Due to the infinite helical mode index of OAM mode, a large number of holographic images can be reconstructed from an OAM-multiplexing hologram. However, the traditional design of an OAM hologram is constrained by the helical mode index of the selected OAM mode, for a larger helical mode index OAM mode has a bigger sampling distance, and the crosstalk is produced for different sampling distances for different OAM modes. In this paper, we present the design of the OAM hologram based on a Bessel–Gaussian beam, which is non-diffractive and has a self-healing property during its propagation. The Fourier transform of the Bessel–Gaussian beam is the perfect vortex mode that has the fixed ring radius for different OAM modes. The results of simulation and experiment have demonstrated the feasibility of the generation of the OAM hologram with the Bessel–Gaussian beam. The quality of the reconstructed holographic image is increased, and the security is enhanced. Additionally, the anti-interference property is improved owing to its self-healing property of the Bessel-OAM holography.

Generation of orbital angular momentum hologram using a modified U-net

Orbital angular momentum(OAM)holography has become a promising technique in information encryption,data storage and opto-electronic computing,owing to the infinite topological charge of one single OAM mode and the orthogonality of different OAM modes.In this paper,we propose a novel OAM hologram generation method based on a densely connected U-net(DCU),where the densely connected convolution blocks(DCB)replace the convolution blocks of the U-net.Importantly,the reconstruction process of the OAM hologram is integrated into DCU as its output layer,so as to eliminate the requirement to prepare training data for the OAM hologram,which is required by conventional neural networks through an iterative algorithm.The experimental and simulation results show that the OAM hologram can rapidly be generated with the well-trained DCU,and the reconstructed image's quality from the generated OAM hologram is significantly improved in comparison with those from the Gerchberg-Saxton generation method,the Gerchberg-Saxton based generation method and the U-net method.In addition,a 10-bit OAM multiplexing hologram scheme is numerically demonstrated to have a high capacity with OAM hologram.

Discrete multi-step phase hologram for high frequency acoustic modulation

Acoustic holograms can recover wavefront stored acoustic field information and produce high-fidelity complex acoustic fields. Benefiting from the huge spatial information that traditional acoustic elements cannot match, acoustic holograms pursue the realization of high-resolution complex acoustic fields and gradually tend to high-frequency ultrasound applications. However, conventional continuous phase holograms are limited by three-dimensional(3D) printing size, and the presence of unavoidable small printing errors makes it difficult to achieve acoustic field reconstruction at high frequency accuracy. Here, we present an optimized discrete multi-step phase hologram. It can ensure the reconstruction quality of image with high robustness, and properly lower the requirement for the 3D printing accuracy. Meanwhile, the concept of reconstruction similarity is proposed to refine a measure of acoustic field quality. In addition, the realized complex acoustic field at 20 MHz promotes the application of acoustic holograms at high frequencies and provides a new way to generate high-fidelity acoustic fields.

Tailoring electron vortex beams with customizable intensity patterns by electron diffraction holography

An electron vortex beam(EVB) carrying orbital angular momentum(OAM) plays a key role in a series of fundamental scientific researches, such as chiral energy-loss spectroscopy and magnetic dichroism spectroscopy. So far, almost all the experimentally created EVBs manifest isotropic doughnut intensity patterns. Here, based on the correlation between local divergence angle of electron beam and phase gradient along azimuthal direction, we show that free electrons can be tailored to EVBs with customizable intensity patterns independent of the carried OAM. As proof-of-concept, by using computer generated hologram and designing phase masks to shape the incident free electrons in the transmission electron microscope, three structured EVBs carrying identical OAM are tailored to exhibit completely different intensity patterns. Furthermore, through the modal decomposition, we quantitatively investigate their OAM spectral distributions and reveal that structured EVBs present a superposition of a series of different eigenstates induced by the locally varied geometries. These results not only generalize the concept of EVB, but also demonstrate an extra highly controllable degree of freedom for electron beam manipulation in addition to OAM.

Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms

Secret sharing is a promising technology for information encryption by splitting the secret information into different shares.However,the traditional scheme suffers from information leakage in decryption process since the amount of available information channels is limited.Herein,we propose and demonstrate an optical secret sharing framework based on the multi-dimensional multiplexing liquid crystal(LC)holograms.The LC holograms are used as spatially separated shares to carry secret images.The polarization of the incident light and the distance between different shares are served as secret keys,which can significantly improve the information security and capacity.Besides,the decryption condition is also restricted by the applied external voltage due to the variant diffraction efficiency,which further increases the information security.In implementation,an artificial neural network(ANN)model is developed to carefully design the phase distribution of each LC hologram.With the advantage of high security,high capacity and simple configuration,our optical secret sharing framework has great potentials in optical encryption and dynamic holographic display.

Time-sequential color code division multiplexing holographic display with metasurface

Color metasurface holograms are powerful and versatile platforms for modulating the amplitude,phase,polarization,and other properties of light at multiple operating wavelengths.However,the current color metasurface holography can only realize static manipulation.In this study,we propose and demonstrate a multiplexing metasurface technique combined with multiwavelength code-division multiplexing(CDM)to realize dynamic manipulation.Multicolor code references are utilized to record information within a single metasurface and increase the information capacity and security for anticracks.A total of 48 monochrome images consisting of pure color characters and multilevel color video frames were reconstructed in dual polarization channels of the birefringent metasurface to exhibit high information density,and a video was displayed via sequential illumination of the corresponding code patterns to verify the ability of dynamic manipulation.Our approach demonstrates significant application potential in optical data storage,optical encryption,multiwavelengthversatile diffractive optical elements,and stimulated emission depletion microscopy.

4K-DMDNet:diffraction model-driven network for 4K computer-generated holography

Deep learning offers a novel opportunity to achieve both high-quality and high-speed computer-generated holography(CGH).Current data-driven deep learning algorithms face the challenge that the labeled training datasets limit the training performance and generalization.The model-driven deep learning introduces the diffraction model into the neural network.It eliminates the need for the labeled training dataset and has been extensively applied to hologram generation.However,the existing model-driven deep learning algorithms face the problem of insufficient constraints.In this study,we propose a model-driven neural network capable of high-fidelity 4K computer-generated hologram generation,called 4K Diffraction Model-driven Network(4K-DMDNet).The constraint of the reconstructed images in the frequency domain is strengthened.And a network structure that combines the residual method and sub-pixel convolution method is built,which effectively enhances the fitting ability of the network for inverse problems.The generalization of the 4K-DMDNet is demonstrated with binary,grayscale and 3D images.High-quality full-color optical reconstructions of the 4K holograms have been achieved at the wavelengths of 450 nm,520 nm,and 638 nm.

Grid-based computer-generated holograms synthesizing for holographic three-dimensional display

To reduce the computing time of composite computer-generated holograms （CGHs） gen- eration based upon the angular projection algorithm for holographic three-dimensional （3D） display, a grid-based holographic display （ GHD ） scheme was designed. The grid computing technology was applied to numerically process the different angular projections of an object in distributed-parallel manner to create the corresponding CGHs. The whole treatment of a projection was regarded as a job executed on the grid node machine. The number of jobs which were submitted to grid nodes, therefore, was equal to that of the projections of the object. A Condor-based grid testbed was constructed to verify the feasibility of the GHD scheme, and a graphical user interface （GUI） program and several service modules were developed for it. A 3D terrain model as an example was processed on the testbed. The result showed that the scheme was feasible and able to improve the execution elficiency greatly.

Direct field-to-pattern monolithic design of holographic metasurface via residual encoderdecoder convolutional neural network

Complex-amplitude holographic metasurfaces(CAHMs)with the flexibility in modulating phase and amplitude profiles have been used to manipulate the propagation of wavefront with an unprecedented level,leading to higher image-reconstruction quality compared with their natural counterparts.However,prevailing design methods of CAHMs are based on Huygens-Fresnel theory,meta-atom optimization,numerical simulation and experimental verification,which results in a consumption of computing resources.Here,we applied residual encoder-decoder convolutional neural network to directly map the electric field distributions and input images for monolithic metasurface design.A pretrained network is firstly trained by the electric field distributions calculated by diffraction theory,which is subsequently migrated as transfer learning framework to map the simulated electric field distributions and input images.The training results show that the normalized mean pixel error is about 3%on dataset.As verification,the metasurface prototypes are fabricated,simulated and measured.The reconstructed electric field of reverse-engineered metasurface exhibits high similarity to the target electric field,which demonstrates the effectiveness of our design.Encouragingly,this work provides a monolithic field-to-pattern design method for CAHMs,which paves a new route for the direct reconstruction of metasurfaces.

One Step Hologram Calculation for Holographic 3D Display Based on Nonuniform Sampled Angular Spectrum Method

We proposed a method for calculating the computer generated hologram from multi-plane 3D objects by using nonuniform sampled angular spectrum method （NUASM）. Both of the holo-gram plane and the image plane are nonuniform sampled according to the distances and positions of the three-dimensional objects. The nonuniform fast Fourier transform （NUFFT） is used to calculate the angular spectrum propagation from the image plane to the hologram plane and the hologram can be calculated in only one step. Simulation and optical experiment results show that the hologram generated in this way can reconstruct objects on multi- planes simultaneously and separately without axial distortion.

Measuring the Object Deformation by Real Time Holographic Interferometry with Automatically Calculating Hologram

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Digital holographic imaging via direct quantum wavefunction reconstruction

Wavefunction is a fundamental concept of quantum theory.Recent studies have shown surprisingly that wavefunction can be directly reconstructed via the measurement of weak value.The weak value based direct wavefunction reconstruction not only gives the operational meaning of wavefunction,but also provides the possibility of realizing holographic imaging with a totally new quantum approach.Here,we review the basic background knowledge of weak value based direct wavefunction reconstruction combined with recent experimental demonstrations.The main purpose of this work focuses on the idea of holographic imaging via direct wavefunction reconstruction.Since research on this topic is still in its early stage,we hope that this work can attract interest in the field of traditional holographic imaging.In addition,the wavefunction holographic imaging may find important applications in quantum information science.

Implementation of natural hand gestures in holograms for 3D object manipulation

Holograms provide a characteristic manner to display and convey information, and have been improved to provide better user interactions Holographic interactions are important as they improve user interactions with virtual objects. Gesture interaction is a recent research topic, as it allows users to use their bare hands to directly interact with the hologram. However, it remains unclear whether real hand gestures are well suited for hologram applications. Therefore, we discuss the development process and implementation of three-dimensional object manipulation using natural hand gestures in a hologram. We describe the design and development process for hologram applications and its integration with real hand gesture interactions as initial findings. Experimental results from Nasa TLX form are discussed. Based on the findings, we actualize the user interactions in the hologram.

跨学科主题学习:认知偏差、应然指向与建构路向

自《义务教育课程方案(2022年版)》提出跨学科主题学习以来,跨学科主题学习引起了教育专家及一线教师的广泛关注。基于全息教学理念,从学习目标、课堂运行、关系结构三方面分析目前中小学教师对跨学科主题学习存在的认知偏差,明确跨学科主题学习的应然指向,即学习目标体现“完整儿童”发展特征,学习过程以“主动发现”为主线,学习内容整合对应人类社会结构;提出探索跨学科主题学习的建构路向,即建构以“目标—评价”为导向的逆向设计路径、以“问题—发现”为系统的探究过程、“大概念—联结”的多学科知识网络。

基于数字全息的模糊图像复原技术研究

采用数字全息方法研究物体经散射介质(毛玻璃)成像复原机理。首先,在菲涅尔离轴数字全息原理的基础上,建立了数字全息记录与再现的数学模型。然后,设计和搭建了全息散射成像系统,建立了毛玻璃的数学模型,并提出一种消除毛玻璃散斑噪声的算法,利用菲涅耳再现算法对实验得到的数字全息图进行再现。最后,用频谱滤波法对全息图再处理后进行再现。实验结果验证了理论算法和实验方法的正确性,为今后物体经过复杂介质的图像复原的深入研究提供了帮助。

全媒体时代“大思政课”建构的审视与优化

“大思政课”是新时代落实立德树人根本任务的新型课程教育理念。伴随全媒体技术同思想政治教育的融合发展,“大思政课”在教育内容、载体、主体、环境上凸显出“全程、全息、全员、全效”(即“四全”)的崭新时代特征。这不仅给传统思政课教育教学提出了现实挑战,同时也为当前思政课教育教学的优化发展明确了前进方向。全媒体语境下,善用“大思政课”,不仅要把握媒体深度融合的时代背景,明确“大思政课”建构的“四全”特征,还要从凝聚价值共识、加快媒体融合、提升媒介素养、拓展传播格局等路径入手,推动全媒体技术与思政课教育教学深度融合,使“大思政课”无处不在、无时不有,充分发挥思政课在立德树人、铸魂育人中的关键作用。

基于声全息法和单目视觉技术的柴油机噪声可视化实现

柴油机属于多噪声耦合动力装置,其噪声的识别和控制是内燃机研究领域的难点。为实现柴油机噪声的可视化,本研究结合了近场声全息法与单目视觉技术,开发了基于Labview的声像匹配模块,测试系统人机界面友好,并通过已知声源试验验证了声像匹配模块的正确性。将验证后的测试系统应用于高压共轨柴油机对主/次推力侧声源进行识别,结果表明:在大气压力为80kPa、转速为1800r/min的最大扭矩工况下,主推力侧出现较大辐射噪声的位置为中冷器进气管、曲轴定时齿形带轮、排气管、脚架和涡轮增压器等;次推力侧辐射噪声峰值出现在起动机位置。

使用多核CPU-GPU异构系统快速生成计算全息图

为了充分利用计算机的计算性能提高基于点源模型的计算全息图(CGH)的生成速度,设计了基于多核中央处理单元(CPU)和图形处理单元(GPU)的计算全息图快速生成系统,并对该系统进行了优化。首先采用统一架构平台设计并实现了基于点源模型的计算全息图生成系统,提出了计算的优化策略;然后根据优化的计算公式来减少计算量;最后对任务调试等进行优化,构建CPU的并行计算系统,其中一个核心负责启动函数和传输数据,其余核心承担一部分计算任务,进一步提高计算速度。结果表明,设计的系统能让CPU和GPU的性能均得到充分利用,在同等配置的计算硬件条件下,生成计算全息图的加速比较GPU系统计算全息图的加速比提高了4~4.75倍,可以有效提高计算全息图的生成速度。该研究对快速生成3维场景全息图是有帮助的。

耳部铜砭刮痧联合耳穴压豆对脾胃虚弱型耳鸣患者的影响

目的观察基于全息论的耳部铜砭刮痧联合耳穴压豆对脾胃虚弱型耳鸣患者睡眠质量和日常生活的影响。方法选取2022年9月—2023年4月南宁市某三级甲等中西医结合医院耳鼻咽喉头颈外科门诊82例符合纳入条件的脾胃虚弱型耳鸣患者为研究对象,按照组间基本特征具有可比性的原则分为观察组和对照组,每组41例。对照组患者实施耳鸣门诊常规护理的同时予两耳交替耳穴压豆,每周1次,连续4周;观察组在对照组措施的基础上行基于全息论的双侧耳部铜砭刮痧,每周1次,连续4周。于干预前、干预结束时和干预结束后4周采用匹兹堡睡眠质量指数(PSQI)评估患者睡眠质量,采用耳鸣致残量表(THI)评估耳鸣对患者日常生活的影响。结果两组各有39例患者完成研究。两组患者干预前、干预结束时、干预结束后4周PSQI的总分有逐渐降低的趋势,时间之间差异有统计学意义(P时间<0.05);干预结束时、干预结束后4周PSQI总分观察组低于对照组,差异有统计学意义(P组间<0.05);随观察时间延长,组间差异逐渐增大,组间随时间变化的差异有统计学意义(P交互<0.05)。两组患者干预前、干预结束时、干预结束后4周THI总分有逐渐降低的趋势,时间之间差异有统计学意义(P时间<0.05),但THI总分组间效应及交互效应无统计学意义(P>0.05)。干预结束后4周,观察组治疗有效率高于对照组,组间比较差异具有统计学意义(P<0.05)。结论基于全息论的耳部铜砭刮痧联合耳穴压豆的方法所需用物简单、绿色安全,可改善脾胃虚弱型耳鸣患者的睡眠质量,并减轻耳鸣对患者日常生活的影响。