【摘要】 时域高通滤波的算法具有简单 ,易于实现的优点。但其在既有加性噪声 ,又有乘性噪声时校正效果难以令人满意。神经元网络算法在噪声较强时 ,校正效果受到了限制。针对既有加性噪声 ,又有乘性噪声 ,且加性噪声较强的情况 ,提出了红外焦平面非均匀校正的综合处理算法。仿真证明 ,新算法具有较好的校正效果更多还原

【Abstract】 The temporal high-pass filtering correction has th e advantages of simpleness and easy implementation, but in the case of both the additive noise and the multiplicative noise, the satisfactory result is often no t obtained. With strong noise, the performance of the artificial neural network correction is limited. As for the existence of both the stronger additive noise and average multiplicative noise, this paper presents a combined algorithm. The new algorithm has better performance as the experimental result shows.更多还原