摘要
Contourle变换是一种新的图像多尺度,多方向的表示方法,适合表达具有丰富细节信息及方向信息的图像。它的高频方向子带,捕获了许多传感器图像的显著特征。为了实现红外与可见光图像的融合,采用一种基于Contourlet变换的融合算法,对不同的融合规则对低频子带和多方向的高频子带系数进行融合。对比实验结果表明,在此提出的方法可以获得较好的融合效果,优于基于小波变换的图像融合算法。
The Contourlet transform is a new image multiscale and multi-direction representation suitable for expressing the images with rich detail information and direction information.An infrared and visible image fusion algorithm based on the Contourlet transform is adopted to fuse the low frequency subband coefficients and the high frequency subband coefficients in all directions by suitable fusion rules.The fusion images are reconstructed by using the fusion coefficients.The experimental results show that this algorithm proposed above can get better fusion results than that of wavelet tranform image fusion.
出处
《现代电子技术》
2011年第24期93-95,共3页
Modern Electronics Technique
基金
国家大学生创新性实验计划基金资助项目(101028713)
