Compressive sensing algorithm for 2D reconstruction of THz digital holography

Yunda Li; Qi Li; Jiaqi Hu; Yongpeng Zhao

doi:10.3788/COL201513.S11101

Compressive sensing algorithm for 2D reconstruction of THz digital holography

Yunda Li
, Qi Li^*
, Jiaqi Hu
, Yongpeng Zhao

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

13 Scopus citations

Abstract

We present an improved compressive sensing algorithm with negative transformation and piecewise-nonlinear transformation. The reconstruction characteristics of the improved algorithm are studied by conducting numerical analysis research. Watch gear and handwritten character are used in the experiments. The results validate the application value of the improved algorithm in improving 2D reconstructed image quality in terahertz (THz) Gabor inline digital holography.

Original language	English
Article number	S11101
Journal	Chinese Optics Letters
Volume	13
DOIs	https://doi.org/10.3788/COL201513.S11101
State	Published - 30 Jan 2015

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title = "Compressive sensing algorithm for 2D reconstruction of THz digital holography",

abstract = "We present an improved compressive sensing algorithm with negative transformation and piecewise-nonlinear transformation. The reconstruction characteristics of the improved algorithm are studied by conducting numerical analysis research. Watch gear and handwritten character are used in the experiments. The results validate the application value of the improved algorithm in improving 2D reconstructed image quality in terahertz (THz) Gabor inline digital holography.",

author = "Yunda Li and Qi Li and Jiaqi Hu and Yongpeng Zhao",

note = "Publisher Copyright: {\textcopyright} 2015 Chinese Optics Letters.",

year = "2015",

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doi = "10.3788/COL201513.S11101",

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AU - Li, Yunda

AU - Li, Qi

AU - Hu, Jiaqi

AU - Zhao, Yongpeng

PY - 2015/1/30

Y1 - 2015/1/30

N2 - We present an improved compressive sensing algorithm with negative transformation and piecewise-nonlinear transformation. The reconstruction characteristics of the improved algorithm are studied by conducting numerical analysis research. Watch gear and handwritten character are used in the experiments. The results validate the application value of the improved algorithm in improving 2D reconstructed image quality in terahertz (THz) Gabor inline digital holography.

AB - We present an improved compressive sensing algorithm with negative transformation and piecewise-nonlinear transformation. The reconstruction characteristics of the improved algorithm are studied by conducting numerical analysis research. Watch gear and handwritten character are used in the experiments. The results validate the application value of the improved algorithm in improving 2D reconstructed image quality in terahertz (THz) Gabor inline digital holography.

UR - https://www.scopus.com/pages/publications/84930843311

U2 - 10.3788/COL201513.S11101

DO - 10.3788/COL201513.S11101

M3 - 文章

AN - SCOPUS:84930843311

SN - 1671-7694

VL - 13

JO - Chinese Optics Letters

JF - Chinese Optics Letters

M1 - S11101

ER -

Compressive sensing algorithm for 2D reconstruction of THz digital holography

Abstract

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