红外偏振与红外光强图像的伪彩色融合研究

Study on Pseudo-color Fusion of Infrared Polarization and Intensity Image

针对RGB和l空间转换过程复杂,运算速度慢,不便于用灰度融合图像直接代替亮度分量的问题,提出了一种基于YC C空间的伪彩色融合方法。该方法首先对源图像进行基于特征差异的颜色映射,所得RGB图像通过YC C变换提取亮度分量Y;然后采用新的融合规则对红偏振与光强图像进行了支持度融合,其中低频和高频分别采用目标背景分割和区域方差最大的融合规则;最后用融合结果代替亮度分量,再与C,C分量进行YC C逆变换,得到伪彩色图像。实验结果表明,与文献[8]方法比较局部方差提高21.5%、对比度提高1.15%、清晰度提高6.05%、运算速度提高30.5%,证明了本文算法的可行性和有效性。

As the RGB and l？？ space conversion processes are complex and slow computational speed,and it is not convenient to use gray image fusion directly instead of brightness component.This paper presents a pseudo-color fusion method by enhancing the luminance component on a linear color YC？C？ space,Firstly,the source images are color mapping based on feature differences,and then were given the R,G and B channels;RGB image obtained gets the luminance component Y through the transform of YC？C？;The infrared polarization and the intensity image conduct multi-scale decomposition by the support value transform again,The low and high frequency images conduct coefficient selection use respectively the bright object segmentation and regional variance rules;Finally the fusion result directly instead of brightness fusion component and the component reverse transform with the C？ and C？,a Pseudo-color image was obtained.the local standard deviation increased 79.6%、contrast increased 1.15%、definition increased 44.5%、operation speed increased 30.5% by comparing with the Reference [8].The experimental results show the algorithm is feasible and effective.