基于有限脊波变换和Cycle spinning的图像融合算法  

Image fusion algorithm based on finite ridgelet transform and cycle spinning

作　　者：刘坤[1] 郭雷[2] 陈敬松[3] 

机构地区：[1]上海海事大学信息工程学院,上海200135 [2]西北工业大学自动化学院,西安710072 [3]中国航空无线电电子研究所,上海200233

出　　处：《吉林大学学报（工学版）》2010年第4期1075-1080,共6页Journal of Jilin University:Engineering and Technology Edition

基　　金：国家自然科学基金项目(60175001)

摘　　要：有限脊波变换在处理高维信号时比小波变换具有更好的方向性、较高的逼近精度和更好的稀疏表达性能,利用这一特点将其应用于图像融合领域,但有限脊波变换不具有平移不变性,故提出了用有限脊波变换与Cycle spinning相结合的方法消除因移变性产生的Gibbs现象。实验验证结果表明,本文算法能有效提取图像特征,且对边缘特征的表述更加清晰光滑。We propose a new image fusion algorithm based on finite ridgelet transform and cycle spinning. The finite ridgelet transform provides a flexible multiresolution,local and directional image expansion,and also a sparse representation for two-dimensional piecewise smooth signals resembling images. However,finite ridgelet transform lacks translation invariance that the fused image introduces many artifacts. We use the cycle spinning technique to develop translation invariant contourlet fusion rule. This method can effectively eliminate the Gibbs phenomena,extract the character of original images and preserve more important information. Subjective and objective standard evaluations of the experiment results show that this proposed method outperforms conventional methods in terms of better image character extraction and edge character description.

关 键 词：计算机应用 图像融合 有限脊波变换 循环平移算法 Gibbs现象 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]