A color daytime and nighttime image fusion algorithm based on IHS and Multi-Wavelet transform

Guoliang Tang, J. Pu, Zhongmin Cai, Xinhan Huang
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Abstract

A daytime and nighttime color image fusion method based on IHS transform and Multi-Wavelet transform is presented. The method can automatically merge images of a scene captured under different illumination and can be used for practical purposes. Specifically, the fused image can give more information of the context of night-time traffic videos, which makes them easier to be understood. The context is automatically captured by a camera in a fixed-position during daytime and then is fused into a nighttime image of the same scene. The advantages of this method are that it preserves the important local perceptual cues and it can avoid the problems with traditional methods such as aliasing, ghosting and haloing.
基于IHS和多小波变换的彩色昼夜图像融合算法
提出了一种基于IHS变换和多小波变换的昼夜彩色图像融合方法。该方法可以自动合并不同光照下拍摄的场景图像,具有实际应用价值。具体来说,融合后的图像可以提供更多的夜间交通视频背景信息,使其更容易被理解。白天,摄像机在固定位置自动捕捉环境,然后将其融合到同一场景的夜间图像中。该方法的优点是保留了重要的局部感知线索,避免了传统方法存在的混叠、重影、晕化等问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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