作　　者： ;

机构地区： 广东工业大学华立学院

出　　处： 《激光与红外》 2013年第11期1234-1239,共6页

摘　　要： 针对现有图像融合算法得到的融合图像清晰度不高以及边缘模糊等问题,提出了一种结合图像特征比的红外与可见光的图像融合算法,通过小波变换将图像进行分解,并通过计算低频分量中空间频率比与能量比,来对低频分量中的有效信号进行保留,而对高频分量则是通过边缘检测算法计算出高频分量中的边缘信号比,来对高频分量的边缘信号进行保留;实验结果表,该算法能够得到相比其他算法更为清晰的融合图像,具有一定的实用价值。 Aiming at low definition and blurred edges of the fusion image that obtained by existing image fusion algo-rithm, an infrared and visible image fusion algorithm based on combined image characteristics ratio is put out. The im-age is decomposed by wavelet transform, and the valid signal in the low frequency component is retained through cal- culating the low-frequency component of the spatial frequency ratio and the energy ratio. And in the high-frequency components, edge ratio is calculated by using the edge detection algorithm. At last, the edge of the image signal is re-tained. Experimental results show that this algorithm can get the clearer fusion image than other algorithms.

关 键 词： 图像融合算法 小波变换 红外图像 可见光图像 边缘检验

领　　域： [自动化与计算机技术] [自动化与计算机技术]