一种无源毫米波成像超分辨率算法  

A Super-Resolution Reconstruction Algorithm of Passive Millimeter-wave Image

作　　者：胡飞[1] 喻文娟[1] 

机构地区：[1]华中科技大学电子与信息工程系,武汉430074

出　　处：《微波学报》2009年第1期79-82,共4页Journal of Microwaves

基　　金：国家自然科学基金(60772090)

摘　　要：针对无源毫米波图像提出了一种频域与空域相结合的正则最小二乘超分辨率重建方法。该方法从约束最小二乘的思想出发,在加性噪声能量有界的前提下,利用在空域中得出的正则化参数初始值,代入频域解非线性方程确定最优参数,保证了频域中解的收敛性,提高了收敛效率。实验结果表明,该方法在平滑噪声的同时保护了图像的纹理细节,适用于无源毫米波图像的超分辨率处理,收敛效率得到明显改善。A regularizing least squares super-resolution algorithm of passive millimeter-wave image reconstruction is introduced combining frequency method with spatial method. Based the technique of constrained least squares and limited energy of additive noise, an initial value of regularization parameter derived from space algorithm which ensures the convergence of optimal parameter and improves the efficiency of solving the nonlinear iterative frequency equation. The experiment results show that this method has good performance on passive millimeter-wave image super-resolution reconstruction for the effectiveness on keeping the textures and reducing noise simultaneously and the rapid convergence.

关 键 词：无源毫米波 正则化 最小二乘 超分辨率 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]