Convergence speed is a key performance indicator in the scene-based nonuniformity correction (NUC) algorithms. In this study, we have developed a new algorithm named the adaptive convergence nonuniformity correction (AC NUC) algorithm, which utilizes the nonuniformity's high-space-frequency characteristic. Moreover, the coefficient controlling the convergence speed is improved from stationary to adaptive, which is an important improvement to the convergence speed and NUC effect. Finally, the effectiveness of the proposed algorithm was verified by real infrared image sequences.%收敛问题是基于场景非均匀性校正算法的一个共性问题,提出了一个能够自适应收敛的非均匀性校正算法,该算法的一个特点是只对非均匀性空间频率的高频部分进行处理,详细论述了该处理的优点,同时还提出了一个控制收敛速度的因子,使得算法的收敛速度根据场景的动态范围自动调整,这将很大程度的改善基于场景非均匀性校正算法收敛特性,最后通过实验数据论证了该算法的性能.
展开▼
