基于读出电路结构的红外焦平面图像非均匀校正算法

为了改善基于图像配准的红外焦平面迭代非均匀校正算法的性能,在此基础上提出了一种新的红外焦平面图像非均匀校正算法.首先分析了真实图像的噪声规律,利用红外焦平面的读出电路结构特性建立了噪声模型.而后分两部分对算法原理进行分析,最后用仿真数据对算法的有效性给予了验证.通过与其他算法的校正结果比较,证实该算法具有收敛速度快、计算复杂度低,数据存储量小等优点.

Algorithm for Nonuniformity Correction of Infrared Focal Plane Arrays Based on Readout Architecture

In order to improve the performance of iterative least square algorithm based on image registration for nonuniformity correction of infrared focal plane arrays, a new algorithm was presented. Firstly, according to the noise regularity of actual images, the noise model of the algorithm was constructed with the knowledge of readout architecture for imaging system. Then the principle of the algorithm was provided in two parts to be analyzed. Finally, results were presented to demonstrate the efficiency of the algorithm. Compared with other correction algorithms, the algorithm has some advantages, such as fast convergence rate, low computational complexity and small memory resources.