基于小波变换和视觉特性的多光谱图像融合  

Multi-spectral Image Fusion Method Based on Wavelet Transform and Feature of Human Vision System

作　　者：李红[1] 刘晓华[1] 

机构地区：[1]华中科技大学数学系,湖北武汉430074

出　　处：《信号处理》2006年第1期32-34,69,共4页Journal of Signal Processing

基　　金：航天支撑技术基金项目资助

摘　　要：本文提出了一种基于小波变换和人眼视觉系统特性的多光谱图像融合算法。首先对已配准的源图像进行小波多尺度分解;其次基于视觉系统提出一种新的融合规则,即分别将对应的高低频分量分割成若干个块,计算出每个块的对比度方差,通过文中所构造的一种自适应的阈值方法,选取两幅图像中清晰的图像块形成新的高低频分量;最后,通过小波反演变换重构多光谱图像。实验结果表明,这种方法不仅能很好的增强多光谱图像的空间细节能力及光谱信息,而且能避免增强结果出现振铃效应,是一种十分有效的融合方法。In this paper, a multi - spectral images fusion algorithm is proposed based on wavelet transform and features of human vision system. First perform a wavelet multiscale decomposition of each source image. Then a new fusion regular is presented based on hvs： corresponding high （low） frequency components are divided into several blocks, and contrast error of every block is calculated, an adaptive threshold selection is proposed to decide which should be used to construct the new high （low） frequency components. Finally, the fused image is obtained by taking inverse wavelet transform. And threshold is discussed in this paper. The experimental results show that the new method presented is clearly better in not only preserving spectral and improving spatial presentation, but also avoiding mosaic occurs. The fusion scheme is effective.

关 键 词：图像融合 小波分解 视觉系统 闽值 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP751[自动化与计算机技术—计算机科学与技术]