北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2014, Vol. 37 ›› Issue (3): 13-17.doi: 10.13190/j.jbupt.2014.03.003

• 论文 • 上一篇    下一篇

4-f光学架构频域纯相位调制压缩成像

张成1, 程鸿1,2, 张芬1, 韦穗1   

  1. 1. 安徽大学 计算智能与信号处理教育部重点实验室, 合肥 230039;
    2. 安徽省现代成像与显示技术重点实验室, 合肥 230039
  • 收稿日期:2013-11-15 出版日期:2014-06-28 发布日期:2014-06-08
  • 作者简介:张成(1984-),男,博士生,E-mail:question1996@163.com;韦穗(1946-),女,教授,博士生导师.
  • 基金资助:

    NSFC-广东联合基金项目(U1201255);国家自然科学基金项目(61201396, 61201227, 61301296, 61377006);高等学校博士学科点专项科研基金项目(20113401130001);安徽省自然科学基金项目(1208085QF114);安徽大学博士科研启动经费项目(33190218);安徽大学青年基金项目(KJQN1120)

Compressed Imaging with Frequency-Domain Phase Modulation When in 4-f Optical Architecture

ZHANG Cheng1, CHENG Hong1,2, ZHANG Fen1, WEI Sui1   

  1. 1. Key Laboratory of Intelligent Computing and Signal Processing, Ministry of Education, Anhui University, Hefei 230039, China;
    2. Key Laboratory of Modern Imaging and Displaying Technology of Anhui Province, Hefei 230039, China
  • Received:2013-11-15 Online:2014-06-28 Published:2014-06-08

摘要:

为了改善传统的多幅亚像素图像配准融合实现超分辨率的方法面临的配准误差和高成本问题,将压缩传感理论引入超分辨率成像. 基于大多数自然图像普遍具有的稀疏表示特性,以经典的4-f光学架构为基础,利用频域中相位比振幅包含更多信息的特点,提出了一种频域纯相位调制压缩成像方法,通过重建算法从单次曝光记录的低维测量值中恢复原高分辨率图像的信息. 数值实验结果表明,提出的方法可以有效地实现图像信息的随机调制和高质量重建,是一种有潜力的压缩成像物理实现方案,具有较高的重建信噪比和较少的重建时间,尤其是对于大尺度图像.

关键词: 压缩成像, 图像超分辨率, 频域相位调制, 4-f光学架构

Abstract:

One of the goals of optical imaging and image processing is super-resolution imaging. In order to reduce the registration error and costly problem facing in multiple sub-pixel image registration fusion method to achieve super-resolution, a compressive sensing method is introduced for super-resolution imaging, it benefits from the general sparse representation feature of most nature images. Based on the classical 4-f optical architecture, the phase will contain more information than the amplitude in frequency domain, a compressed imaging method with pure phase modulation in the frequency domain is proposed. The original high-resolution image information can be recovered from the low-dimensional measurements recorded with a single exposure by various algorithms. Numerical results demonstrate that the proposed can effectively achieve random modulation of image information and high-quality reconstruction, which can be considered as a promising scheme for physics implementation of compressed imaging with high reconstruction signal to noise ratio and less reconstruction time, especially for large-scale image.

Key words: compressed imaging, image super-resolution, frequency phase modulation, 4-f optical architecture

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