红外与微光图像开窗配准融合处理方法

为解决图像实时融合以及红外与微光图像视场大小不一致等问题,提出一种基于仿射变换的红外与微光图像开窗配准融合处理方法。首先以大视场微光图像为背景,对图像中人眼感兴趣的目标区域信息进行开窗,窗口的大小由系统硬件速度和配准融合算法的运算量决定,然后在相同的目标窗口区域,通过双线性插值和仿射变换建立一种红外与微光图像各个像素点的对应匹配关系来完成窗口图像的快速配准与融合,实验对开窗融合结果进行了分析与评价。结果表明,该方法在满足人眼观察需求的条件下既减小图像融合处理数据,又保留了重要的细节融合信息,有效地提高了图像融合的实时性,对兼顾硬件速度与实时性要求的图像融合系统具有较高的应用价值。

The window registration and fusion processing method for infrared and low light level images

In order to solve the problem of real-time image fusion and the disparity between the infrared and low level light(LLL) image field,a window registration and fusion method for infrared and LLL images based on affine transformation is proposed. Firstly,we use LLL image with large field of view as background to open the interested target area,the size of the window is determined by the hardware speed and the amount of computation of the registration and fusion algorithm. Then we use bilinear interpolation and affine transformation to establish a corresponding matching relationship between the pixels of the infrared and LLL image to complete the fast window image registration and fusion. The results of window fusion were analyzed and evaluated. The experimental results show that this method not only reduces the image fusion processing data,but also preserves the important details fusion information. It can effectively improve the real-time performance of image fusion under the condition of satisfying the needs of human observation. So it has high application value for image fusion system with both hardware speed and real-time requirements.