The Color Fusion of Infrared and Visual Images Based on NSCT

Yajie Wang, Yanyan Wu, Xiangbin Shi, Yongsheng Ye
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引用次数: 1

Abstract

In the night vision fusion, traditional methods, such as the wavelet transform, always suffer from the problems of shift-variant, limited direction. In order to obtain a more ideal fused image, this paper proposes a new night vision fusion scheme based on NSCT (nonsubsampled contour let transform). And we can convert the fused grayscale image into the color image by YUV color space, ultimately generating the color fused image. The experimental results demonstrate that the proposed method not only keep abundant details of the background, but also improves the contrast and detect ability of the target object. And the color based on color transfer algorithm closes to natural color, superior to the traditional method such as false color, it's more conducive to identify the target and the environment for people.
基于NSCT的红外与视觉图像颜色融合
在夜视融合中,传统的小波变换等方法往往存在偏移、方向受限等问题。为了获得更理想的融合图像,本文提出了一种基于非下采样轮廓let变换的夜视融合新方案。通过YUV色彩空间将融合后的灰度图像转换为彩色图像,最终生成彩色融合图像。实验结果表明,该方法既保留了丰富的背景细节,又提高了目标物体的对比度和检测能力。而且基于颜色传递算法的颜色更接近自然颜色,优于假色等传统方法,更有利于人们识别目标和环境。
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