基于场景的自适应红外焦平面非均匀校正技术

为提高基于场景的自适应算法性能,根据图像非线性滤波理论,提出采用中值滤波进行图像前处理的自适应红外焦平面校正技术。该算法经过仿真图像序列和实际图像测试,达到较高的非均匀校正水平,降低了固定图案噪声,保护了图像细节。同时算法具有计算复杂度低,可以有效获得随帧数变化的探测器增益和偏置参数。

Adaptive Scene-Based Non-uniformity Correction of Infrared Focal Plane Arrays

To improve the performance of the adaptive scene-based technology for non-uniformity correction,an adaptive non-uniformity correction technology for infrared focal plane arrays based on pre-processing with median filter is proposed.The proposed algorithm has been tested with the video sequences of simulated and real infrared data,reaching high correction levels,reducing the fixed pattern noise and preserving image details.The algorithm has low computational complexity and can obtain an efficient frame by frame adaptive estimation of detector's gain and offset.