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基于PDE去鬼影的自适应非均匀性校正算法研究

Keywords: 自适应校正算法,神经网络,鬼影,偏微分方程

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Abstract:

针对基于场景的自适应校正算法普遍存在鬼影的问题,分析了神经网络算法(NN-NUC)产生鬼影的原因,并在此基础上提出了用基于偏微分方程(PDE)的非线性滤波方法取代NN-NUC算法中邻域平均的方法来获取期望图像,从而减少边缘像素误差,达到消除鬼影的目的.采用实际采集的红外图像进行实验,结果表明,很好地消除了鬼影.与已有的几种去鬼影的方法相比,具有更快的收敛性.

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