传感器优化方法夜视应用示例

Design-to-technology for Night Vision

现代的夜视系统已数字化并带有高端图像处理功能,可以实现模糊场景分析。在这样的要求下,图像传感器本身的性能就变得极其重要。理想状况,极度低光照状态下每一个光子都必须转化为有效信号,从而最终图像可以清晰分辨所有细节。本文对主要用于评估低照度性能的传感器关键参数、建模和度量法作出探讨,提出了实验室测量对比夜视芯片技术方法,并以此方法对比验证了本工作夜视传感器与现有其他芯片性能进行比较.

The market for night vision represents a wide panel of applications which purpose is to assist operators in visual analysis of scene m ostly with requirements of mobility and low power solutions.Modern systems are digital with high-end image processing to enable unambiguous scene analysis.It remains that the intrinsic performance of image sensors is essential.Ideally,in extreme low light conditions,every available photon must contribute to the signal and every detail of the image must be properly resolved.This paper explores key sensors parameters,models and metrics to evaluate low light performance.