Sub-pixel processing algorithm of the reducing boundary recursive error in staring FPA micro-scanning imaging  

作　　者：陈艳 金伟其 王岭雪 王霞 

机构地区：[1]School of Optoelectronics,Beijing Institute of Technology

出　　处：《Chinese Optics Letters》2010年第2期146-150,共5页中国光学快报（英文版）

基　　金：supported by Beijing Micro-Chemical Institute Laboratory Open Fund(No.P2008026EB);the General Armament Department Fund(No. 40405030103).

摘　　要：By analyzing the error distribution rule of the boundary recursive reconstruction algorithm in controlled micro-scanning, a sub-pixel image processing algorithm is proposed to reduce the error. The gray statistical principle is used in the algorithm to optimize the error and acquire the sub-pixel image that approximates the originM image. The simulation result shows that the effect of this algorithm is better than the over- sample and simple boundary recursive algorithm （BRA）, and it results in a good effect both in those of visible light and infrared imaging systems. Therefore, the application of this algorithm will enhance the performance of optoelectronic imaging systems.By analyzing the error distribution rule of the boundary recursive reconstruction algorithm in controlled micro-scanning, a sub-pixel image processing algorithm is proposed to reduce the error. The gray statistical principle is used in the algorithm to optimize the error and acquire the sub-pixel image that approximates the originM image. The simulation result shows that the effect of this algorithm is better than the over- sample and simple boundary recursive algorithm （BRA）, and it results in a good effect both in those of visible light and infrared imaging systems. Therefore, the application of this algorithm will enhance the performance of optoelectronic imaging systems.

关 键 词：Digital image storage Image processing Imaging systems Optoelectronic devices PIXELS Thermography (imaging) 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] TP301.6[自动化与计算机技术—计算机科学与技术]