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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。
The convergence problem is a common problem based on scene nonuniformity correction algorithm. A non-uniformity correction algorithm that can adaptively converge is proposed. One of the features of this algorithm is that it only deals with the high-frequency part of the non-uniform spatial frequency. The advantages of this algorithm are discussed in detail. At the same time, a factor controlling the convergence speed is also proposed, which makes the convergence speed of the algorithm adjust automatically according to the dynamic range of the scene. This will greatly improve the convergence characteristics of the scene-based non-uniformity correction algorithm. Finally, the experimental data demonstrate the performance of the algorithm.