A specific measurement matrix in compressive imaging system

Fen Wang*, Ping Wei, Jun Ke

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Compressed sensing or compressive sampling (CS) is a new framework for simultaneous data sampling and compression which was proposed by Candes, Donoho, and Tao several years ago. Ever since the advent of a single-pixel camera, one of the CS applications - compressive imaging (CI, also referred as feature-specific imaging) has aroused more interest of numerous researchers. However, it is still a challenging problem to choose a simple and efficient measurement matrix in such a hardware system, especially for large scale image. In this paper, we propose a new measurement matrix whose rows are the odd rows of N order Hadamard matrix and discuss the validity of the matrix theoretically. The advantage of the matrix is its universality and easy implementation in the optical domain owing to its integer-valued elements. In addition, we demonstrate the validity of the matrix through the reconstruction of natural images using Orthogonal Matching Pursuit (OMP) algorithm. Due to the limitation of the memory of the hardware system and personal computer which is used to simulate the process, it is impossible to create such a large matrix that is used to conduct large scale images. In order to solve the problem, the block-wise notion is introduced to conduct large scale images and the experiments results present the validity of this method.

源语言英语
主期刊名2011 International Conference on Optical Instruments and Technology
主期刊副标题Optoelectronic Imaging and Processing Technology
DOI
出版状态已出版 - 2011
已对外发布
活动2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology - Beijing, 中国
期限: 6 11月 20119 11月 2011

出版系列

姓名Proceedings of SPIE - The International Society for Optical Engineering
8200
ISSN(印刷版)0277-786X

会议

会议2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
国家/地区中国
Beijing
时期6/11/119/11/11

指纹

探究 'A specific measurement matrix in compressive imaging system' 的科研主题。它们共同构成独一无二的指纹。

引用此