摘要
基于亮度-对比度传递技术提出了一种红外和彩色可见光图像的融合方法,该算法通过对红外图像和可见光图像在HIS空间进行二次融合,保留了可见光图像的颜色特性,并获得一幅具有良好亮度和对比度效果的融合图像。实验结果表明该方法融合噪声小、细节缺失少、融合速度快。
An infrared and color visible image fusion approach is presented based on the brightness-contrast transfer technol- ogy. By twice fusing the infrared image and visible image in HIS space, the proposed algorithm can not only preserve the na- ture color of the inputted visible image, but also obtain a result with good brightness and contrast. The experiment results indicate this method develop an image fusion method with good fusion results and low computational cost.
出处
《光学与光电技术》
2013年第6期7-10,共4页
Optics & Optoelectronic Technology
关键词
图像融合
红外图像
可见光图像
小波变换
图像评价
image fusion
infrared image
visible image
wavelet transform
image evaluation