Infrared and Color Visible Images Fusion Based on Second Generation Curvelet Transform
Focusing on the fusion problem of the infrared image and the color visible image of the same scene, a novel image fusion algorithm based on the HIS transform and the curvelet transform is presented in this paper. Firstly, the color visible image is mapped from the RGB color space into the HIS color space and then the intensity component is attained. Secondly, the intensity component and the infrared image are merged based on the curvelet transform. Lastly, the fused color image is attained by applying the inverse HIS transform. When merging the intensity component and the infrared image, we discuss the fusion rules in detail. For the low frequency coefficients, we present a `weighted averaging scheme based on the different physical features of the infrared image and the visible image; for the bandpass directional subband coefficients, according to the human visual characteristics, we present a selection principle based on the local area energy. Experimental results demonstrate the proposed algorithm not only can make the fused color image maintain the high resolution and the nature color of the visible image, but also can incorporate the detection and the unambiguous localization of the target, represented in the thermal image, as well.
Qiang ZHANG Baolong GUO
Xidian University, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23（万方平台首次上网日期，不代表论文的发表时间）