Computational imaging technology for high-sensitivity space-image acquisition  

作　　者：孙瑾秋 李海森 张海超 张艳宁 汶德胜 

机构地区：[1]Institute of Precision Guidance and Control,Northwestern Polytechnical University [2]Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Science

出　　处：《Chinese Optics Letters》2013年第11期46-49,共4页中国光学快报（英文版）

基　　金：supported by the National Natural Science Foundation Key Project(No.61231016);theNational Natural Science Foundation of China Youth Science Fund Project(No.61301193)

摘　　要：Acquiring deep-space images with high spatial resolution and sensitivity is important for space-debris surveillance and early warning. We propose a novel computational imaging （CI） method for high-sensitivity image acquisition in this letter. The proposed approach introduces CI into image formation. The proposed capturing process conducts minor modifications for cameras to encode more desirable information during capture, which is practical for hardware implementation. The latent image is reconstructed by formulating a recovery problem into an optimization problem, which is solved with iteratively reweighted least square technique. The experimental results clearly show the effectiveness of the proposed method.Acquiring deep-space images with high spatial resolution and sensitivity is important for space-debris surveillance and early warning. We propose a novel computational imaging （CI） method for high-sensitivity image acquisition in this letter. The proposed approach introduces CI into image formation. The proposed capturing process conducts minor modifications for cameras to encode more desirable information during capture, which is practical for hardware implementation. The latent image is reconstructed by formulating a recovery problem into an optimization problem, which is solved with iteratively reweighted least square technique. The experimental results clearly show the effectiveness of the proposed method.

关 键 词：HARDWARE Image acquisition Iterative methods 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术] P631.4[自动化与计算机技术—计算机科学与技术]