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相关概念视频

Computed Tomography01:10

Computed Tomography

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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...
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Imaging Biological Samples with Optical Microscopy01:18

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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...
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DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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相关实验视频

Updated: Jul 23, 2025

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects
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基于计算幽灵成像和总变化最小化的光学多图像身份验证.

Yaoling Zhou1, Yueer Sun2, Mu Yang3

  • 1School of Computer Science and Engineering, Xi'an University of Technology, Xi'an, 710048, China.

Heliyon
|July 14, 2023
PubMed
概括
此摘要是机器生成的。

本研究引入了一种新的光学多图像身份验证方法. 它将图像数据嵌入封面图像中,确保高质量的恢复和加强对窃听的安全性.

关键词:
计算机化幽灵成像 (ghost imaging) 是一种计算机化幽灵成像.多个图像身份验证.总变量的最小化

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相关实验视频

Last Updated: Jul 23, 2025

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科学领域:

  • 光学和光子学 在光学和光子学.
  • 图像处理 图像处理
  • 信息安全 信息安全

背景情况:

  • 传统的图像身份验证通常涉及直接加密,使其容易被检测.
  • 在封面图像中谨慎地嵌入信息,提供了一种更隐蔽的身份验证方法.

研究的目的:

  • 开发一个安全和强大的光学多图像身份验证系统.
  • 将多个图像嵌入到封面图像中,而不会引起潜在窃听者的注意.

主要方法:

  • 使用计算幽灵成像将多个图像编码成实值序列.
  • 采用波波变换来将封面图像分解为数据嵌入的子图像.
  • 实现总变量最小化以实现高保真图像恢复.
  • 通过混乱的序列编码与物流地图来增强安全性.

主要成果:

  • 成功嵌入和恢复高质量的多个图像.
  • 证明了对潜在的窃听尝试的坚固性.
  • 通过光学实验验证拟议的方法.

结论:

  • 拟议的计算幽灵成像和总变量最小化方法为光学多图像身份验证提供了一种安全有效的方法.
  • 该技术为隐藏嵌入和恢复图像数据提供了强大的解决方案,性能优于传统方法.