双预测结构融合的复杂红外图像背景抑制算法

Two-prediction-architecture fused complex IR images background suppression algorithm

针对复杂红外图像的背景抑制问题,提出了一种双预测结构融合的复杂红外图像背景抑制算法。算法以图像中每个像素为中心,在其局部区域内根据灰度相似程度和空间分布相关性计算像素的核值相似程度,然后根据核值相似程度有侧重地融合两种不同结构的空间滤波器的输出作为最终的预测结果,最后将原始图像与预测图像相减完成背景抑制。实验结果表明,本文提出的算法能够较好地抑制不同红外图像中的复杂背景,算法结构简单,具有较强的应用价值。

Aiming at the complex background suppression problem, a two-prediction-architecture fused complex IR images background suppression algorithm is proposed. In the local region of each pixel, the Nucleus Similarity Degree（NSD） is computed on the basis of the gray value similarity and spatial distribution correlation. Then, the outputs of two spatial filters with different structures are fused as the final background prediction result. Finally, the suppression is done by subtracting the prediction from the original image. The experimental result demonstrates that the proposed algorithm can get better performance in different complex IR images while the structure of the algorithm is simple, and it is suitable for engineering application.