使用衍射视觉处理器进行全光学图像无色化
Çağatay Işıl1,2,3, Tianyi Gan1,3, Fazil Onuralp Ardic1
1Electrical and Computer Engineering Department, University of California, Los Angeles, CA, 90095, USA.
Light, science & applications
|February 3, 2024
概括
这项研究引入了一种模拟衍射图像消噪器,可以全光学和非代地去除噪声. 这种新的方法为图像处理应用提供了速度和功率效率.
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
- 计算成像技术的成像
背景情况:
- 数字图像否定算法通常涉及GPU上的代计算,导致延迟和高功耗.
- 深度学习方法虽然非代,但也存在计算负担和延迟.
- 现有的除技术在诸如全息显示器之类的应用中难以满足实时处理需求.
研究的目的:
- 开发一种使用衍射光学的全光学,非代的图像变质器.
- 为了展示一种被动衍射视觉处理器,以有效消除噪音.
- 为了在光速下实现高速和高效的图像消噪.
主要方法:
- 通过深度学习优化设计的被动传递衍射层来分散噪声特征.
- 实现了以光传播速度运行的模拟衍射图像消极器.
- 实验验证了使用3D打印的偏光处理器在太赫兹频谱中的denoiser.
主要成果:
- 衍射消极剂有效地从相位和强度图像中去除了盐和胡噪声和空间工件.
- 实现了大约30%-40%的输出功率效率.
- 使用3D打印的衍射处理器在太赫兹频谱中证明有效的消除噪声.
结论:
- 全光学衍射光器为高速,高功率的图像光提供了一个变革性的解决方案.
- 开发的模拟处理器具有最小的计算开销.
- 这项技术对先进的图像显示和投影系统,包括全息显示器,具有重大潜力.
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