关键词: 双边滤波, 图像融合, 核函数, 自适应, 邻域

Abstract: This paper proposes a fusion algorithm for the color image?and near infrared image. Firstly, a bilateral filter is proposed which has an improve kernel function. Secondly this scheme implements bilateral filter and Gauss filter for color image and near infrared image, to get multi-scales images, for example the low-frequency image, detail image, edge image. Thirdly, an adaptive weight selection method is proposed when different scale images are incorporated. The method considers the neighborhood of each pixel which is used to fusion, when images are combined. It makes the fusion images to reduce noises and color of the fusion image to be closer to the original image. The experiments show the obtaining fusion image has color information which accords with human observations habits. Otherwise, its information of the texture, edge details is more abundant than the original color.

Key words: bilateral filter, image fusion, kernel function, adaptive, near field