摘要
图像融合可以集成多个源图像中的冗余和互补信息,增加图像理解的全面性,获得对同一场景的更为准确可靠的图像描述。传统的小波图像融合方法的融合规则是分别对低频和高频系数进行处理,忽略了其中的联系,论文定义一种对比度将高频系数和低频系数的处理联系起来,并以对比度的大小作为度量系数取舍的准则进行图像融合。经实验仿真研究表明,该文算法获得的融合结果都获得了良好的效果。
Image fusion can integrate redundant and complementary information from multiple source images for increasing the comprehensiveness of image understanding and obtain a more accurate and reliable image of the same scne.Traditionally,fusion rules of wavelet image fusion is processing low-frequency and high-frequency coefficients separately and ignored the contact.The paper defines a contrast for contacting them,which is used as the measure to select the coefficient during image fusion.Experimental simulation studies show that no mater in terms of subjective or objective evaluation the algorithm of this paper can get good effect in image fusion result.
作者
王世立
WANG Shili(No.91404 Troops of PLA,Qinhuangdao 066000)
出处
《计算机与数字工程》
2017年第5期867-869,共3页
Computer & Digital Engineering
关键词
图像融合
多聚焦
小波变换
对比度
image fusion
multi-focus
wave transform
contrast
