通过波折电子U形网络通过波长感知虚拟分支的光场颜色分辨率成型
Yuheng Zong1, Huaiping Jin1, Hao Fang1
1Faculty of Information Engineering and Automation, Kunming University of Science and Technology (KUST), Kunming, 650500, Yunnan, China; The Higher Educational Key Laboratory for Industrial Intelligence and Systems of Yunnan Province, Kunming University of Science and Technology (KUST), Kunming, 650500, Yunnan, China.
概括
这项研究引入了一种混合衍射电子神经网络,用于实时颜色光场塑造. 该系统有效地纠正动态空间扭曲,为先进的光学应用提供稳定,高保真色彩图案.
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
- 计算成像技术的成像
背景情况:
- 动态空间扭曲挑战稳定的光场塑造,特别是颜色图案.
- 目前的技术,包括衍射光学神经网络,仅限于单色目标,并与时间变化作斗争.
研究的目的:
- 开发一种新的衍射电子混合神经网络,用于实时,彩色光场塑造.
- 解决现有的光束成型方法在光谱概括和时间稳定方面的局限性.
主要方法:
- 引入了一种波长感知虚拟分支 (WAVB) 机制,用于光谱概括.
- 集成了一个光谱调节的U形网络,带有频率选择性跳过连接 (FSSC).
- 开发了一种全光驱动的光流预测模块,用于时间连贯性.
主要成果:
- 实现了50Hz的实时操作,用于颜色光场成型.
- 在各种空间和时间扭曲场景中展示了强大的,框架稳定的塑造.
- 混合网络成功地适应波长特定的塑造,并保留了道间的依赖性.
结论:
- 拟议的系统为智能,自适应光学成像提供了一个可扩展的框架.
- 实现了强大的实时彩色光场塑造,克服了以前方法的局限性.
- 在动态全息,激光显示器和计算光学成像方面提出了有前途的应用.
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