基于目标提取和小波变换IHS图像融合算法  

HIS Image Fusion Algorithm Based on Target Extraction and Wavelet Transform

作　　者：宋清昆[1] 徐萌萌[1] 余杉钰[1] 

机构地区：[1]哈尔滨理工大学自动化学院,哈尔滨150080

出　　处：《河南大学学报（自然科学版）》2014年第2期232-235,共4页Journal of Henan University:Natural Science

摘　　要：针对传统的IHS(Intensity-Hue-Saturation,强度-色调-饱和度)融合算法会使部分光谱信息丢失,提出一种基于目标提取和双正交小波变换的IHS图像融合算法,主要应用于红外图像与可见光图像的融合.算法首先采用基于区域能量的算法在红外图像进行目标提取,将目标图像与可见光图像进行IHS融合.对融合后的图像进行小波变换,变换得到的高频分量与低频分量分别提出适合的改进融合规则.通过实验数据分析,该算法得到的图像包含的信息更多,图像的清晰度更高.As the lack of the traditional fusion IHS algorithm causing some spectral information lost, an algorithm based on the target extraction and IHS biorthogonal wavelet transform image fusion algorithm is proposed to be mainly used in the infrared image and visible image fusion. The algorithm based on region energy target extraction in infrared image, then fusion the target extraction and visible image with IHS were employed. The wavelet transform to the fusion image, transform high-frequency component and the low-frequency component improvements were made suitable fusion rule. By analysis of experimental data, the image of the algorithm contain more information and higher resolution image were obtained.

关 键 词：IHS 目标提取 双正交小波变换 红外图像 可见光图像 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]