基于分离式二维压缩感知的自适应成像系统研究

项目名称： 基于分离式二维压缩感知的自适应成像系统研究

项目编号： No.61271411

项目类型： 面上项目

立项/批准年度： 2013

项目学科： 无线电电子学、电信技术

项目作者： 张宝菊

作者单位： 天津师范大学

项目金额： 80万元

中文摘要： 压缩感知理论突破了Nyquist采样定理的限制，在图像压缩领域有着重要的应用价值，其中基于该理论的压缩成像方法是众多应用的核心支撑技术。因此，寻找具有高效实用、成像快速、抵抗噪声干扰能力强的压缩成像光学系统，具有非常重要的科学研究意义。在本项目中将围绕分离式二维压缩感知的基础理论，探索一种自适应压缩成像系统实现中的关键技术，主要包括：建立分离式二维压缩感知理论的数学模型，研究适用于光学成像的测量矩阵；推导光学成像系统的自适应测量参数选择算法；设计压缩成像系统光学模型，分析噪声来源，搭建能提高系统信噪比的光学结构；构建成像系统结构与控制系统。本项目的研究成果将为压缩感知理论在图像压缩领域的应用提供理论和技术基础，并可为特殊环境成像、加密成像等提供新的实现途径，扩展压缩感知技术的应用领域。

中文关键词： 分离式压缩感知；图像重构；测量矩阵；图像采集；自适应成像

英文摘要： Compressive sensing, breaking the Nyquist sampling theorem limit, has great application value in the field of image compression. And the compressive imaging method is the core technology for many applications which is based on compressive sensing theory. Therefore, it has very important scientific significance to looking for efficient and practical、rapid and noise resistant compressive imaging system.In order to achieve this compressive imaging method, the project explore the key technologies of adaptive optical imaging system around separable two-dimensional compressive sensing theory.Mainly including: establishing the mathematical modeling of separable two-dimensional compressive sensing theory, investigating the suitable measurement matrix;deducing the adaptive measuring parameter selection algorithm of optical imaging system;designing the optical model of compressive imaging system,surveying the noise source and setting up the appropriate optical structure;constructing imaging system optical structure and control system.The achievement of this project will provide theoretical and technical basis for compressive sensing in the field of compressive imaging, and could provide a new implementation approach for special environmental imaging, encryption imaging with a view to expanding the field of compressive sen

英文关键词： separable compressed sensing；image reconstruction；measurement matrix；image acquisition；adaptive imaging