光学与光电技术, 2013, 11 (6): 7, 网络出版: 2014-01-08
基于亮度对比度传递的红外与可见光图像融合方法研究
Research on the Image Fusion Algorithm Based on Brightness-Contrast Transfer
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
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。
Abstract
An infrared and color visible image fusion approach is presented based on the brightness-contrast transfer technology. By twice fusing the infrared image and visible image in HIS space, the proposed algorithm can not only preserve the nature 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.
王安宙, 张智杰, 余徽, 王晨晟. 基于亮度对比度传递的红外与可见光图像融合方法研究[J]. 光学与光电技术, 2013, 11(6): 7. 王安宙, 张智杰, 余徽, 王晨晟. Research on the Image Fusion Algorithm Based on Brightness-Contrast Transfer[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2013, 11(6): 7.