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适应性窗户用于高光子效率的非视线成像在高环境光照下

Jinye Miao, Fuyao Cai, Taotao Qin

|November 11, 2025

概括

适应性窗口非视线 (AW-NLOS) 成像可以在具有挑战性的低信号与背景比率条件下增强隐藏物体的重建. 这种方法可靠地恢复物体形状,即使有弱信号和高噪声.

科学领域:

光学和光子学在光学和光子学.
计算成像技术的成像
计算机视觉计算机视觉

背景情况:

非视线成像 (NLOS) 可以重建隐藏的物体形状,但受到环境光线中的弱信号的限制.
低信号与背景比 (SBR) 严重降低了实际的NLOS成像性能.

研究的目的:

开发一种强大的NLOS成像方法,在极低SBR和光子饥饿条件下进行高质量的重建.
通过有效抑制背景噪声和放大弱信号来提高成像性能.

主要方法:

引入了适应性窗户非视线 (AW-NLOS) 成像技术.
利用概率模型进行信号/噪声检测和时空聚类进行信号放大.
采用匹配过用于窗口大小估计和每像素适应性短持续范围窗口.
综合总变量 (TV) 规范化,用于增强重建.

主要成果:

在SBR低至2.12的可靠重建和0.02光子/像素的信号流量.
与传统方法相比,结构相似性指数 (SSIM) 大约有0.5的显著改善.
在极端背景噪音和有限的光子检测效率下展示了高质量的重建.

结论:

AW-NLOS成像为在具有挑战性的光子饥饿和高噪音的NLOS场景中精确重建提供了一个新的范式.
该方法使得在传统技术失败的情况下能够进行强大且高准确度的成像.

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