摘要
光学微扫描和亚像元成像处理技术,是提高凝视型红外焦平面探测器空间分辨率的重要技术途径。通过分析2×2光学微扫描原理和图像插值重建模型,提出一种基于拉格朗日(Lagrange)多项式的高分辨率重建算法。算法根据局部梯度特征将图像划分成多个同性区域,在同性区域内自适应调整Lagrange的阶数,进而完成插值重建。实验表明,算法有效抑制了光学扫描误差引起的图像模糊,提高了红外成像系统的空间分辨率,具有较强的实用价值。
The combination of optical microscan and sub-pixel imaging technology is an effective method to improve the spatial resolution of infrared（IR） detectors.According to analyzing the optical microscan principle and the interpolation reconstruction model,a high resolution imaging algorithm is presented which is based on Lagrange polynomial.Firstly,the proposed algorithm divides the image into different isotropic areas besed on local gradient,and secondly adjusts Lagrange exponents adaptively in these areas.Experimental results show that the proposed algorithm can eliminate image blurring arised from optical microscan effectively,improve spatial resolution of IR imaging system and has good application value.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2010年第1期86-90,共5页
Acta Optica Sinica
基金
国防预研基金(40405050303)
江苏省自然科学基金重点(BK2008049)
江苏省普通高校生科研创新项目(CX08B-O45Z)资助课题
关键词
图像处理
光学微扫描
插值重建
红外焦平面阵列
拉格朗日多项式
image processing optical microscan interpolation reconstruction infrared focal plane array Lagrange polynomial
