关于深度学习用于计算机生成全息的使用
Xuan Yu1, Haomiao Zhang2,3, Zhe Zhao1
1Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
iScience
|June 10, 2025
概括
深度学习正在彻底改变计算机生成全息 (CGH),使高质量的实时全息显示成为可能. 本综述探讨了基于深度学习的CGH (DLCGH) 模型和未来的前景.
科学领域:
- 光学和光子学 在光学和光子学.
- 人工智能的人工智能
- 计算机科学 计算机科学
背景情况:
- 计算机生成全息 (CGH) 和机器学习已经独立地取得了重大进展.
- 最近深度学习的突破加速了CGH的进展,特别是在显示应用中.
研究的目的:
- 审查深度学习在CGH的整合.
- 检查基于深度学习的CGH (DLCGH) 的演变和当前状态.
- 在DLCGH探索新兴的研究前沿.
主要方法:
- 介绍CGH和深度学习的基本概念.
- 对DLCGH的发展轨迹的分析.
- 探索各种DLCGH模型类别:数据驱动,物理驱动和联合优化.
主要成果:
- 深度学习在增强CGH方面取得了显著的成功.
- 在实现高质量和实时全息显示方面取得了重大进展.
- DLCGH包括多种不同的建模方法,每种方法都有独特的优势.
结论:
- 深度学习和CGH之间的协同作用为先进的全息技术提供了巨大的潜力.
- 未来的研究应该专注于克服当前的挑战,并探索DLCGH的新机会.
- DLCGH将成为未来全息显示器创新的关键领域.
相关概念视频
Imaging Biological Samples with Optical Microscopy
Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...
Computed Tomography
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
Deconvolution
Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Deconvolution involves several mathematical techniques to derive the impulse response. One common approach is polynomial division. In this method, the input and output sequences are treated as coefficients of...
Depth Perception and Spatial Vision
Depth perception is the ability to perceive objects three-dimensionally. It relies on two types of cues: binocular and monocular. Binocular cues depend on the combination of images from both eyes and how the eyes work together. Since the eyes are in slightly different positions, each eye captures a slightly different image. This disparity between images, known as binocular disparity, helps the brain interpret depth. When the brain compares these images, it determines the distance to an object.


