基于最大化背景预测的图像预处理技术研究

Image Preprocessing for Infrared Small Target Detection Based on Maximum Background Model Prediction

提出一种改进的基于最大化背景模型的背景预测算法。此方法通过区域最大化背景模型,来减小起伏背景边缘对背景预测的影响,实现对背景更好的抑制,提高了目标的信噪比,达到了抑制干扰和增强目标的双重目的,取得了很好的预处理效果。

A background prediction algorithm based on improved maximum background model is introduced, in which a better performance of preprocessing shall be realized by reducing the influence of background edge on background gurgitation, so the signal to noise ratio shall be improved and the performances of background suppression and target enhancement shall be better.