Results 1 to 10 of about 196 (103)
Computer generated holography with intensity-graded patterns [PDF]
Frontiers in Cellular Neuroscience, 2016 Computer Generated Holography achieves patterned illumination at the sample plane through phase modulation of the laser beam at the objective back aperture. This is obtained by using liquid crystal-based spatial light modulators (LC-SLMs), which modulate
Rossella Conti +4 more
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Polarization-controlled nonlinear computer-generated holography
Scientific Reports, 2023 Dynamic phase-only beam shaping with a liquid crystal spatial light modulator is a powerful technique for tailoring the intensity profile or wave front of a beam.
Lisa Ackermann +5 more
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Quantum Computer-Generated Holography
IEEE AccessHologram calculations pose a significant challenge for future holographic displays with extensive fields of view and wide viewing angles. Classical computers may encounter difficulties with these owing to immense computational demands.
Tomoyoshi Shimobaba +2 more
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Fast Low-Precision Computer-Generated Holography on GPU
Applied Sciences, 2021 Computer-generated holography (CGH) is a notoriously difficult computation problem, simulating numerical diffraction, where every scene point can affect every hologram pixel.
David Blinder, Peter Schelkens
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Progress of the Computer-Generated Holography Based on Deep Learning
Applied Sciences, 2022 With the explosive developments of deep learning, learning–based computer–generated holography (CGH) has become an effective way to achieve real–time and high–quality holographic displays.
Yixin Zhang +4 more
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The state-of-the-art in computer generated holography for 3D display
Light: Advanced Manufacturing, 2022 Holographic displays have the promise to be the ultimate 3D display technology, able to account for all visual cues. Recent advances in photonics and electronics gave rise to high-resolution holographic display prototypes, indicating that they may become
David Blinder +3 more
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Efficient Computer-Generated Holography Based on Mixed Linear Convolutional Neural Networks
Applied Sciences, 2022 Imaging based on computer-generated holography using traditional methods has the problems of poor quality and long calculation cycles. However, recently, the development of deep learning has provided new ideas for this problem.
Xianfeng Xu +4 more
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4K-DMDNet: diffraction model-driven network for 4K computer-generated holography
Opto-Electronic Advances, 2023 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 ...
Kexuan Liu +3 more
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Bandwidth Control in Computer- Generated Holography
IEEE Photonics Journal, 2023 The Fourier transform between the time and frequency signals of light enables highly efficient band usage in optical communications. Analogously, the Fourier transform between the wavefield and wavevector distributions in the optical spatial diffraction ...
Mian Wu +6 more
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Tailoring Large Asymmetric Laguerre–Gaussian Beam Array Using Computer-Generated Holography
Photonics, 2023 Laguerre–Gaussian beams are structured light beams with a donut-shaped symmetric intensity profile and a helical phase profile. The beam profile is defined by a quantized parameter known as the mode number which extends to infinity.
Sumit Kumar Singh +5 more
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