2维复图像插值技术研究  

Research Two-dimensional Complex Image Interpolation

作　　者：王亮[1] 黄晓涛[1] 周智敏[1] 

机构地区：[1]国防科学技术大学电子科学与工程学院,长沙410073

出　　处：《中国图象图形学报》2008年第8期1417-1423,共7页Journal of Image and Graphics

基　　金：国防预研项目(408010202)

摘　　要：2维复图像插值可按实部和虚部分为两个实图像插值,实图像插值实际上是一个2维滤波过程。提出了一种局部自适应的2维实图像插值算法。该算法可以在不预设模型的前提下,利用局部图像的自相关函数设计2维滤波函数。为满足插值均方误差最小,算法中引入了遗传算法优化多变量函数。该算法在超宽带合成孔径雷达(ultra-wideBand synthetic aperture radar,UWB SAR)图像插值中有应用价值,实测数据的复图像插值和复图像配准检验了该算法的可行性。2D complex-image interpolation is decomposed into two real-image interpolation procedures based on real part and imaginary part of image. In fact, real-image interpolation is a 2D filtering procedure. In this paper we propose a local adaptive interpolated algorithm for 2D real-image. Presupposing there is no model, this algorithm utilizes fully local images to estimate autocorrelation function. To minimize the mean square error that interpolated local image, genetic algorithm is introduced in the procedure of optimizing multi-variable function. This interpolation algorithm is worth to be applied in ultra-wideband synthetic aperture radar （ UWB SAR） image interpolation procedures. Two experiments with real data, complex-image interpolation and complex-image coregistration, have verified feasibility of this interpolation algorithm.

关 键 词：2维图像插值 自相关函数 遗传算法 复图像配准 

分 类 号：TN911.73[电子电信—通信与信息系统]