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频域二元纯相位编码压缩成像
引用本文:张成, 张芬, 沈川, 章权兵, 韦穗, 王岳. 频域二元纯相位编码压缩成像[J]. 计算机研究与发展, 2014, 51(9): 2070-2080. DOI: 10.7544/issn1000-1239.2014.20130304
作者姓名:张成  张芬  沈川  章权兵  韦穗  王岳
作者单位:1.1(计算智能与信号处理教育部重点实验室(安徽大学) 合肥 230039);2.2(安徽省现代成像与显示技术重点实验室 合肥 230039) (question1996@163.com)
基金项目:NSFC-广东联合基金项目,国家自然科学基金项目,高等学校博士学科点专项科研基金项目,安徽省自然科学基金项目,安徽大学博士科研启动经费项目,安徽大学青年基金项目
摘    要:基金项目: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)

关 键 词:压缩成像  图像超分辨率  随机相位编码  二元相位编码  -f光学架构

Binary Pure Phase Encoding Compressive Imaging in Frequency Domain
Zhang Cheng, Zhang Fen, Shen Chuan, Zhang Quanbing, Wei Sui, Wang Yue. Binary Pure Phase Encoding Compressive Imaging in Frequency Domain[J]. Journal of Computer Research and Development, 2014, 51(9): 2070-2080. DOI: 10.7544/issn1000-1239.2014.20130304
Authors:Zhang Cheng  Zhang Fen  Shen Chuan  Zhang Quanbing  Wei Sui  Wang Yue
Affiliation:1.1(Key Laboratory of Intelligent Computing & Signal Processing (Anhui University), Ministry of Education, Hefei 230039);2.2(Key Laboratory of Modern Imaging and Displaying Technology of Anhui Province, Hefei 230039)
Abstract:Super resolution (SR) is considered as one of the “holy grails” of optical imaging and image processing. The introduction of compressive sensing theory presents a novel super-resolution reconstruction method from a single low-resolution image, which can avoid the requirements for the multiple sub-pixel images of traditional superresolution method. Analyzing the requirements of the similarities and differences between compressed sensing measurement matrices and optical imaging systems, a binary phase encoding compressive imaging method based on the 4-f optical architecture is presented, with the phase in the frequency domain randomly modulated, which can achieve super-resolution reconstruction from single low-resolution measurement images obtained with single exposure conditions, no other additional information collected. Binary phase mask is much easier to implement than random phase mask with uniform distribution, which is a more viable scheme for physical realization of compressive imaging. Simulation experiments demonstrate that the proposed method can effectively capture compressive measurements and implement super-resolution reconstruction in a single shot condition. Furthermore, another experiments show that this method is also more applicable to large-scale image reconstruction compared with random demodulation (RD) proposed by Romberg in the reconstruction time, and more practical in the sampling scheme than RecPC method proposed by Yin.
Keywords:compressive imaging  image super-resolution  random phase encoding  binary phase encoding  4-f optical architecture
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