轮廓波和方向小波变换方法的性能比较  

Performance Comparison of Contourlet Transform and Directional-Wavelet Transform

作　　者：李玉荣[1] 徐华楠[2] 

机构地区：[1]中国航空工业集团公司洛阳电光设备研究所,河南洛阳471009 [2]西北工业大学理学院,西安710072

出　　处：《电光与控制》2013年第8期79-83,99,共6页Electronics Optics & Control

摘　　要：轮廓波和方向小波是两种不同的多尺度几何分析方法,弥补了小波方向性的缺失和基的各向同性的缺点,能够更有效地捕捉图像中的几何结构,是有效的图像稀疏表示方法。介绍了轮廓波和方向小波的基本理论,并通过它们在图像融合中的应用来比较它们的性能。The efficiency of the two-dimensional separable wavelet transform is limited by the spatial isotropy of its basis functions built in the horizontal and vertical directions. The contourlet and directional- wavelet transform are two different multi-scale geometric analysis methods, which can efficiently capture the geometrical structures in images, and are efficient for sparse image representation. The theories of contourlet and directional-wavelet transform are introduced, and their performance are analyzed and compared witheach other by their applications in image fusion.

关 键 词：图像变换 轮廓波变换 方向小波变换 图像稀疏表示 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]