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

LI Wei-wei,YANG Feng-bao,LIN Su-zhen,HE Dong(College of Information and Communication Engineering,North University of China,Taiyuan 030051,China)  

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.

【Fund】： 国家自然科学基金项目(61171057);; 山西省自然基金项目(2011011015-1);; 山西省研究生创新项目(20103082)
【CateGory Index】： TP391.41

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