通过随机轨迹方法实现直接搜索的相机在循环中的实现,用于二进制相位计算机生成全息图优化
Evgenii Yu Zlokazov1, Rostislav S Starikov1, Pavel A Cheremkhin1
1Laser Physics Department, Institute for Laser and Plasma Technologies, National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), Kashirskoe Shosse 31, 115409 Moscow, Russia.
Journal of imaging
|December 24, 2025
概括
这项研究介绍了一种用于二进制计算机生成全息图 (CGH) 的新摄像机在循环中的优化方法. 该技术通过直接在光学系统内优化CGH模型,显著提高全息图像质量,减少扭曲和噪音.
科学领域:
- 光学和光子学 在光学和光子学.
- 计算机视觉 计算机视觉
- 数字图像处理 数字图像处理
背景情况:
- 高速计算机生成全息图 (CGH) 对于3D可视化和光学系统至关重要.
- 二元CGH提供高吞吐量,但由于光学不完美,通常会导致图像扭曲.
- 现有的方法在恢复的全息图像中与噪音和质量下降作斗争.
研究的目的:
- 引入一种用于直接在光学系统内优化二元CGH模型的新方法.
- 为了提高光学恢复全息图像的质量,使用二进制相 CGHs.
- 在实际光学设置中解决纯数字CGH生成的局限性.
主要方法:
- 实现一个摄像头在循环中的配置,用于直接优化CGH模型.
- 使用有效的直接搜索与随机轨迹算法进行优化.
- 对拟议的优化方法进行实验验证.
主要成果:
- 显著提高光学恢复全息图像的质量.
- 证明了扭曲,背景噪声和斑点噪声的减少.
- 优化双相CGH模型的性能优于纯数字生成的模型.
结论:
- 相机在循环中的优化方法有效地提高了二进制CGH性能.
- 光学系统中的直接优化优于图像质量的纯数字方法.
- 这种方法促进了高质量的3D可视化和光学图像处理系统的发展.
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