摘要
提出了一种基于提升方案的五株形小波的多传感器图像融合方法,即在提升五株形小波多尺度分解的基础上,对每一幅图像进行多尺度分解,按照不同的融合规则和融合算子去构造融合图像对应的各小波系数,再通过逆变换重构融合后的图像。该方法被成功地用于多聚焦图像的融合处理。试验结果表明该融合方法十分有效,获得的融合图像更符合人眼的视觉特性、更有利于进行目标监视和侦察。
A novel multisensor images fusion algorithm is presented based on lifting quincunx wavelt. First, the lifting quincunx wavelet transform is used to perform a multiscale decomposition of each image, Then, the wavelet coefficients of fused image are constructed using multiple operators according to different fusion rules. Finally, the reconstructed image is obtained through the inverse transform. This algorithm is successfully used to fuse the multifocus images. The experimental results show that the fusion algorithm is effective and the fused images are more suitable for human visual perception.
出处
《红外技术》
CSCD
北大核心
2005年第6期473-476,共4页
Infrared Technology
基金
高等学校博士学科点专项科研基金(20020699014)
航空基础科学基金(04I53067)
