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基于信息理论的采样成像系统优化设计方法
引用本文:迟学芬,石文孝,韩昌元,易志栋.基于信息理论的采样成像系统优化设计方法[J].通信学报,2002,23(9):88-93.
作者姓名:迟学芬  石文孝  韩昌元  易志栋
作者单位:1. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130021;吉林大学,通信工程学院,吉林,长春,130012
2. 吉林大学,通信工程学院,吉林,长春,130012
3. 中国科学院,长春光学精密机械与物理研究所,吉林,长春,130021
基金项目:国防重大科研基金资助项目
摘    要:本文把信息论应用于采样成像系统中,用端到端的互信息量评价图像捕捉系统,研究光电一体化系统优化设计方法。模拟系统设计参数,计算机仿真分析了采样成像系统中普遍存在的欠采样噪声、光学成像系统的模糊效应以及二者之间的涨落、平衡,做出了基于互信息量的系统评价仿真曲线,提出了光学成像系统与图像捕捉系统的匹配条件和优化设计方法。

关 键 词:采样成像系统  互信息量    欠采样噪声  空间频率响应
文章编号:1000-436X(2002)09-0088-06
修稿时间:2002年3月8日

Information-theory based optimizing design methods in sampled-imaging system
CHI Xue-fen,SHI Wen-xiao,HAN Chang-yuan ,YI Zhi-dong.Information-theory based optimizing design methods in sampled-imaging system[J].Journal on Communications,2002,23(9):88-93.
Authors:CHI Xue-fen    SHI Wen-xiao  HAN Chang-yuan  YI Zhi-dong
Affiliation:CHI Xue-fen1,2,SHI Wen-xiao2,HAN Chang-yuan 1,YI Zhi-dong2
Abstract:By extending information theory to sampled-imaging system, we assess the performance of image-gathering system according to its end-to-end mutual information. Integrated optical and electronic optimizing design methods are studied. Assuming several sets of system design parameters we analyze aliasing noise that exists in sampled-imaging system widely, blurring effects of optical imaging system and the tradeoff between them by the way of computer simulation. Mutual information based computer simulation results of system performance assessment are demonstrated. Matching condition and optimizing design methods between optical imaging system and image detection system are proposed.
Keywords:mutual information  entropy  aliasing noise  spatial frequency response  
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