基于Contourlet变换的偏振图像融合
Fusion of polarimetric image based on Contourlet transform

张晶晶方勇华易维宁

文摘	提出一种基于Contourlet变换的偏振图像融合算法.Contourlet变换是一种具有几何信息的灵活多尺度、多方向和平移不变性的图像分解变换,与小波变换相比,对图像分析很重要的沿曲面任意方向反映的细节更容易调整.采用Contourlet变换对三个555 mm波段不同方向的偏振图像进行分解,对于高频和低频系数分别采用不同的窗函数计算区域能量,最后加权实现偏振图像的融合处理.实验结果表明,该算法与小波分解法相比在保留原始图像边缘和纹理信息的同时,可以体现偏振图像特点,取得较好的融合视觉效果.
其他语种文摘	A fusion method for polarimetric image based on Contourlet transform is proposed. Owing to the geometric information, Contourlet transform is a flexible multi-scale, multi-direction and shift-invariant image decomposition. It is easily adjustable for detecting fine details in any orientation along curvatures, which results in more potential for effective analysis of images compared with wavelet transform. The three polarimtric images in 555 nm band are decomposed using Contourlet transform. Low-pass coefficients and the directional high-frequency coefficients, which were calculated with the energy of the corresponding neighbor region, are used to select the better coefficients by weighted sum of algorithm for fusion. Experimental results show that the algorithm can get better visual effect and achieve the virtue of polarimetric image effectively and preserve image details, and the significant information of original image like textures and contour details is well maintained compared with the wavelet transform algorithm.
来源	量子电子学报 ,2009,26(5):525-530 【核心库】
关键词	图像处理 ; Contourlet变换 ; 融合规则 ; 偏振图像 ; 区域能量
地址	中国科学院安徽光学精密机械研究所, 中国科学院通用光学定标与表征技术重点实验室, 安徽, 合肥, 230031
语种	中文
文献类型	研究性论文
ISSN	1007-5461
学科	自动化技术、计算机技术
文献收藏号	CSCD:3726289