True color transfer for dual band image fusion

许廷发 Xu Ting-fa, 李俊涛 Li Jun-tao, 张一舟 Zhang Yi-zhou, 申子宜 Shen Zi-yi, 郭巳秋 Guo Si-qiu
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引用次数: 1

Abstract

Because of the inappropriate choose of reference image,double band( midwave infrared and visible) color fusion image based on the color transfer method has low contrast,decreasing image edge details and the infrared target is not prominent. We present a new algorithm based on the Laplacian Pyramid,and the contrast could be adjusted anywhere. We use the Laplacian reconstructed image as the luminance component of the YUV image fusion constructure,the differential image of visible image and infrared image as the U component,and the infrared image as the V component. In the color transfer formula,the adjustable scaling factor is brought in to adjust the contrast of fusion image. Experiments show that by using the improved method,the color fusion image retains meaningful details. The infrared target is prominent and the fusion image has similar color distribution with the reference image. We evaluate the quality of fusion image by using objective methods,and the result shows that evaluation indexes such as the mean,variance,entropy,average gradient and spatial frequency are improved.
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用于双波段图像融合的真彩色转移
由于参考图像选择不当,基于颜色转移方法的双波段(中波红外和可见光)颜色融合图像对比度低,图像边缘细节降低,红外目标不突出。我们提出了一种基于拉普拉斯金字塔的新算法,可以任意调整对比度。我们采用拉普拉斯重构图像作为YUV图像融合结构的亮度分量,可见光图像与红外图像的差分图像作为U分量,红外图像作为V分量。在色彩传递公式中,引入可调比例因子来调节融合图像的对比度。实验表明,改进后的颜色融合图像保留了有意义的细节。红外目标突出,融合图像的颜色分布与参考图像相似。采用客观的方法对融合图像的质量进行评价,结果表明,均值、方差、熵、平均梯度和空间频率等评价指标得到了改进。
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