红外技术, 2012, 34 (2): 109, 网络出版: 2012-04-20  

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
作者单位
中北大学信息与通信工程学院, 山西 太原 030051
摘要
针对 RGB和 lαβ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 YCαCβ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 YCαCβ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 Cα,Cβ分量进行 YCαCβ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。
Abstract
As the RGB and lαβ 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 YCαCβ 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 YCαCβ ; 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 Cα and Cβ, 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.

李伟伟, 杨风暴, 蔺素珍, 贺栋. 红外偏振与红外光强图像的伪彩色融合研究[J]. 红外技术, 2012, 34(2): 109. LI Wei-wei, YANG Feng-bao, LIN Su-zhen, HE Dong. Study on Pseudo-color Fusion of Infrared Polarization and Intensity Image[J]. Infrared Technology, 2012, 34(2): 109.

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