Terahertz imaging with compressed sensing and phase retrieval

被引:184
作者
Chan, Wai Lam [1 ]
Moravec, Matthew L. [1 ]
Baraniuk, Richard G. [1 ]
Mittleman, Daniel M. [1 ]
机构
[1] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA
关键词
D O I
10.1364/OL.33.000974
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We describe a novel, high-speed pulsed terahertz (THz) Fourier imaging system based on compressed sensing (CS), a new signal processing theory, which allows image reconstruction with fewer samples than traditionally required. Using CS, we successfully reconstruct a 64 X 64 image of an object with pixel size 1.4 mm using a randomly chosen subset of the 4096 pixels, which defines the image in the Fourier plane, and observe improved reconstruction quality when we apply phase correction. For our chosen image, only about 12% of the pixels are required for reassembling the image. In combination with phase retrieval, our system has the capability to reconstruct images with only a small subset of Fourier amplitude measurements and thus has potential application in THz imaging with cw sources. (C) 2008 Optical Society of America.
引用
收藏
页码:974 / 976
页数:3
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