亚像元光谱图重建算法  

Algorithm for Restoring Spectrogram with Sub-Pixel Resolution

作　　者：杨怀栋[1] 陈科新[1] 何庆声[1] 金国藩[1] 

机构地区：[1]清华大学精密测试技术与仪器国家重点实验室,北京100084

出　　处：《光谱学与光谱分析》2009年第12期3169-3172,共4页Spectroscopy and Spectral Analysis

基　　金：国家自然科学基金项目(60578002);教育部科学技术研究重点项目(106014);北京普析通用仪器有限责任公司光栅与测试术联合实验室基金项目资助

摘　　要：获取高分辨光谱图需要克服探测器空间分辨率低的问题。一个有效解决方案是融合多幅相互间在像面内有亚像元位移的低分辨光谱图为一幅高分辨光谱图。为此提出了平均带限递推亚像元算法。根据亚像元递推公式的双向性,分别沿首-末和末-首两个方向各自递推出一组亚像元值,并将它们的平均值作为最终亚像元值。基于高斯单、双峰的数值实验表明,该方法可有效提高重建亚像元光谱图的精度。Insufficient spatial resolution of detectors is an obstacle to capturing spectra with high resolution. An effective solution is sub-pixel restoration, which can restore a high resolution spectrogram from sub-pixel shifted low resolution ones, In the present paper, an algorithm for sub-pixel restoration is suggested. It utilizes the bidirectional reeursive relation between sub-pixel values and estimates each sub-pixel value from both directions of head-end and end-head. As a result, the averaged value will be accepted as the sub-pixel value. Numerical experiments on single gauss profile and superposition ones verified the effectiveness of the algorithm.

关 键 词：光谱 亚像元 分辨率 

分 类 号：TH744.1[机械工程—光学工程]