红外和彩色可见光图像亮度-对比度传递融合算法

Luminance-contrast transfer based fusion algorithm for infrared and color visible images

以红外和彩色可见光图像为研究对象,提出了一种基于亮度-对比度传递(LCT)技术的彩色图像融合算法。首先借助灰度融合方法将红外图像与彩色可见光图像亮度分量融合,然后用LCT技术改善灰度融合结果的亮度和对比度,最后利用快速YCBCR变换融合策略在RGB空间内直接生成彩色融合图像。文中利用像素平均融合法和多分辨率融合法作为不同的灰度融合措施以分别满足高实时性和高融合质量的需求。实验结果表明,提出算法的融合结果不仅具有与输入彩色可见光图像相近的自然色彩,而且具备令人满意的亮度和对比度,即使采用运算简单的像素平均法进行灰度融合,同样可以获得良好的融合效果。

With the particular research on infrared and color visible images,a color image fusion algorithm based on Luminance-contrast Transfer（LCT） technique is presented.Firstly,the method employs a grayscale fusion approach to fuse the infrared image and the luminance component of the color visible image.Then,it uses the LCT technique to improve the luminance and contrast of the grayscale fused result.Finally,the color fused image is generated directly in the RGB space with the fast YCBCR transform fusion scheme.Two different strategies which employ the pixel averaging fusion approach and the multiresolution fusion approach as the grayscale fusion solution are proposed to implement the high real-time and high fusion quality,respectively.Experimental results show that the proposed algorithm can produce a color fused image not only with the natural color appearance similar as that of the input color visible image,but with pleasing luminance and contrast,and can also provide a good result even using the pixel averaging scheme to implement the grayscale fusion.