摘要
提出一种基于局部熵的多分辨图像融合算法。利用小波变换得到待融合图像的多分辨结构,同时得到图像的多分辨局部熵序列。以局部熵为判据,在图像多分辨结构相应各级上进行融合,得到融合图像的多分辨结构,利用小波逆变换重构融合图像。实验结果表明,该图像融合方法在保留TM多光谱图像光谱分辨率的同时,通过融合SPOT全色图像提高了空间分辨率,丰富了图像细节信息。
This paper introduces a local entropy-based multi-resolution image fusion technique. The algorithm consists of three steps： First, decomposing the input multi-spectral image by wavelet transform to obtain the multi-resolution local entropy sequences of each input image. Second, according to local entropy-based criterion, the multi-resolution analysis of the fused image can be obtained on the corresponding levels of the multi-resolution analysis of the input images. Finally, the output image can be obtained through inverse wavelet transform. Experiment results show that image details are enriched while spectral solution of TM image is reserved by fusing TM image with SPOT image with the image fusion method.
出处
《光电工程》
EI
CAS
CSCD
北大核心
2005年第9期55-58,共4页
Opto-Electronic Engineering
基金
四川省教育厅青年基金项目资助(2004B018)
关键词
局部熵
多分辨分析
图像融合
小波变换
Local entropy Multi-resolution analysis Image fusion Wavelet transform
作者简介
杨平先（1961-），男（汉族），四川自贡人，副教授，硕士导师，主要研究方向为图像处理与通信系统。E-mail：sxb741021@126．com
