低曝光量下投影算法的稳健性研究

研究了在低曝光量情况下灰度投影算法的稳健性,为提出的稳定成像系统的设计与实现提供可行性论证。通过合成视频实验探讨、实际视频实验论证相结合的研究方法,探讨曝光量不足对灰度投影算法性能的影响。实验结果表明,灰度投影算法在欠曝5档和存在一定随机噪声的情况下,仍能保持良好的运动矢量估计性能,从而说明了投影算法在一定的曝光量范围内仍能准确地得到运动矢量估计,是一种运算量小、实时性好且稳健性较强的电子稳像算法。投影算法在低曝光量情况下良好的稳像稳健特性,使其能在低亮度及高实时性要求等环境下应用于航拍、卫星遥感等稳定成像或高清晰成像场合。

Robustness of Projection Algorithm for Under-Exposured Images

A stabilization imaging system is proposed,and the feasibility of design and realization is verified by studying the robustness of gray scale projection algorithm for under-exposured images.The effect of under-exposure on the performance of gray scale projection algorithm is studied by synthetic and real video experiments.The results show that,even with 1/25 exposure time and certain random noise,a favorable estimation performance of motion vector is also achieved.The projection algorithm is proved to be a fast and robust digital image stabilization technique even for under-exposured images.The projection algorithm can be used in aerial photography and spatial remote sensors to obtain stable and high resolution images,thanks to its small computational burden and robustness for under-exposured images.