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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。
The robustness of gray projection algorithm under low exposure is studied. The feasibility of the proposed stabilization imaging system design and implementation is provided. Through the study of synthetic video experiment and actual video experiment demonstration, this paper discusses the influence of insufficient exposure on the performance of gray projection algorithm. The experimental results show that the gray projection algorithm can still maintain a good motion vector estimation performance under the conditions of underexposed 5 files and a certain amount of random noise, which shows that the projection algorithm can still get accurate motion within a certain exposure range Vector estimation is a small amount of operation, good real-time and robust electronic image stabilization algorithm. Projection algorithm with good stability and robustness under low exposure conditions makes it suitable for stable imaging or high-definition imaging applications such as aerial photography and satellite remote sensing in environments with low brightness and high real-time requirements.