摘要
提出了一个新的图像融合方法——基于信息系数矩阵的融合方法,首先对源图像进行离散小波框架变换,根据离散小波框架变换系数求取各图像中像素的清晰度指标,然后通过计算图像信息系数矩阵来决定在小波域当中如何选择一个像素值来完成最终的融合图像.仿真实验表明,该算法得到的融合图像具有良好的视觉效果和量化指标,体现出更强的融合性能.
This paper prpposed a new image fusion algorithm based on the information coefficient matrix,firstly DWFT is performed on the source image,then the clarity value of a pixel is computed from the coefficient of DWFT, the information coefficient matrix was carried out based on the clarity, then the pixels in the last fused image were determined by the information coefficient matrix. The experiment results showed the proposed algorithm could get better view effection and measurement.
出处
《微电子学与计算机》
CSCD
北大核心
2009年第12期31-33,共3页
Microelectronics & Computer
基金
国家自然科学基金项目(60475021)
河南省杰出青年基金项目(0412000400)
洛阳市科技公关计划项目(0701041A)