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We report a technique for encoding both amplitude and phase variations onto a laser beam using a single digital micro-mirror device (DMD). Using this technique, we generate Laguerre-Gaussian and vortex orbital-angular-momentum (OAM) modes,…

This study introduces a modular framework for spatial image processing, integrating grayscale quantization, color and brightness enhancement, image sharpening, bidirectional transformation pipelines, and geometric feature extraction. A…

Computer Vision and Pattern Recognition · Computer Science 2025-10-10 Noor Islam S. Mohammad

Attosecond light sources based on high-order harmonic generation (HHG) constitute to date the only table-top solution for producing coherent broadband radiation covering the spectral range from the extreme ultraviolet to the soft X-rays.…

Machine learning-based computer-generated holography (ML-CGH) has advanced rapidly in recent years, yet progress is constrained by the limited availability of high-quality, large-scale hologram datasets. To address this, we present…

Computer Vision and Pattern Recognition · Computer Science 2025-12-25 Jaehong Lee , You Chan No , YoungWoo Kim , Duksu Kim

Holography is 3D imaging which can record intensity and phase at the same time. The importance of construct hologram is holographic recording and wavefront reconstruction. It is surprised that holography be discovered in study interstellar…

Astrophysics · Physics 2009-11-02 Jiang Dong

It is well-known how to control the spatial output from a laser, with most solutions to date involving customised intra-cavity elements in the form of apertures, diffractive optics and free-form mirrors. These optical elements require…

Optics · Physics 2013-01-22 Sandile Ngcobo , Igor Litvin , Liesl Burger , Andrew Forbes

This paper introduces a new multiplane CGH computation method to reconstruct artefact-free high-quality holograms with natural-looking defocus blur. Our method introduces a new targeting scheme and a new loss function. While the targeting…

Computer Vision and Pattern Recognition · Computer Science 2023-02-08 Koray Kavaklı , Yuta Itoh , Hakan Urey , Kaan Akşit

We proposed Precomputed RadianceTransfer of GaussianSplats (PRTGS), a real-time high-quality relighting method for Gaussian splats in low-frequency lighting environments that captures soft shadows and interreflections by precomputing 3D…

Computer Vision and Pattern Recognition · Computer Science 2024-08-08 Yijia Guo , Yuanxi Bai , Liwen Hu , Ziyi Guo , Mianzhi Liu , Yu Cai , Tiejun Huang , Lei Ma

In certain applications or wavelength regimes, essential optical components for imaging systems are either unavailable or challenging to fabricate. To address this, we propose an optics-free classical ghost imaging (GI) scheme utilizing…

Optics · Physics 2026-03-09 Yuhan Guo , Xiangyu Yin , Chunguang Meng , Liming Li , Huiqiang Liu

The Visual Turing Test is the ultimate goal to evaluate the realism of holographic displays. Previous studies have focused on addressing challenges such as limited \'etendue and image quality over a large focal volume, but they have not…

Computer Vision and Pattern Recognition · Computer Science 2023-07-13 Florian Schiffers , Praneeth Chakravarthula , Nathan Matsuda , Grace Kuo , Ethan Tseng , Douglas Lanman , Felix Heide , Oliver Cossairt

The modified Gerchberg-Saxton algorithm (MGSA) is one of the standard methods for phase retrieval. In this work we apply the MGSA in the paraxial domain. For three given physical parameters - i.e. wavelength, propagation distance and pixel…

Image and Video Processing · Electrical Eng. & Systems 2019-01-30 Soheil Mehrabkhani , Melvin Kuester

Reliable multimodal sensor fusion algorithms require accurate spatiotemporal calibration. Recently, targetless calibration techniques based on implicit neural representations have proven to provide precise and robust results. Nevertheless,…

Computer Vision and Pattern Recognition · Computer Science 2024-09-19 Quentin Herau , Moussab Bennehar , Arthur Moreau , Nathan Piasco , Luis Roldao , Dzmitry Tsishkou , Cyrille Migniot , Pascal Vasseur , Cédric Demonceaux

3D Gaussian splatting (3DGS) has demonstrated exceptional performance in image-based 3D reconstruction and real-time rendering. However, regions with complex textures require numerous Gaussians to capture significant color variations…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Binxiao Huang , Zhihao Li , Shiyong Liu , Xiao Tang , Jiajun Tang , Jiaqi Lin , Yuxin Cheng , Zhenyu Chen , Xiaofei Wu , Ngai Wong

Recent advancements in 3D Gaussian Splatting (3DGS) have made a significant impact on rendering and reconstruction techniques. Current research predominantly focuses on improving rendering performance and reconstruction quality using…

Computer Vision and Pattern Recognition · Computer Science 2025-09-18 Yinlong Bai , Hongxin Zhang , Sheng Zhong , Junkai Niu , Hai Li , Yijia He , Yi Zhou

Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem. Despite recent advancements, simultaneously achieving high-resolution photorealistic results, real-time rendering, and compact storage remains a…

Computer Vision and Pattern Recognition · Computer Science 2024-04-08 Zhan Li , Zhang Chen , Zhong Li , Yi Xu

The on-demand tailoring of light's spatial shape is of great relevance in a wide variety of research areas. Computer-controlled devices, such as Spatial Light Modulators (SLMs) or Digital Micromirror Devices (DMDs), offer a very accurate,…

Controlling hand exoskeletons for assisting impaired patients in grasping tasks is challenging because it is difficult to infer user intent. We hypothesize that majority of daily grasping tasks fall into a small set of categories or modes…

Robotics · Computer Science 2024-11-14 Jackson M. Steinkamp , Laura J. Brattain , Conor J. Walsh , Robert D. Howe

Dense colored point clouds enhance visual perception and are of significant value in various robotic applications. However, existing learning-based point cloud upsampling methods are constrained by computational resources and batch…

Robotics · Computer Science 2024-09-04 Zixuan Guo , Yifan Xie , Weijing Xie , Peng Huang , Fei Ma , Fei Richard Yu

We show that a phase-only spatial light modulator can be used to generate non-trivial light distributions suitable for trapping ultracold atoms, when the hologram calculation is included within a simple and robust feedback loop that…

Computational ghost imaging is a promising technique for single-pixel imaging because it is robust to disturbance and can be operated over broad wavelength bands, unlike common cameras. However, one disadvantage of this method is that it…

Image and Video Processing · Electrical Eng. & Systems 2018-10-16 Ikuo Hoshi , Tomoyoshi Shimobaba , Takashi Kakue , Tomoyoshi Ito