Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Experimental investigation of the quality of ghost imaging via sparsity constraints

Not Accessible

Your library or personal account may give you access

Abstract

Sampling number and detection signal-to-noise ratio (SNR) are two major factors influencing imaging quality. Combining the image’s sparsity in the representation basis with the ghost imaging (GI) approach, GI via sparsity constraints (GISC) can nonlocally image the object even when the measurement number is far fewer than the Nyquist criteria required for the conventional GI reconstruction algorithm. The influence of receiving the system’s numerical aperture and detection SNR in the test path to GISC is studied through experiments. It is also shown that the quality of GISC depends on the object’s sparse representation basis.

© 2013 Optical Society of America

Full Article  |  PDF Article
More Like This
Multiple-input ghost imaging via sparsity constraints

Wenlin Gong and Shensheng Han
J. Opt. Soc. Am. A 29(8) 1571-1579 (2012)

Morphology separation in ghost imaging via sparsity constraint

Xuyang Xu, Enrong Li, Hong Yu, Wenlin Gong, and Shensheng Han
Opt. Express 22(12) 14375-14381 (2014)

Spatial multiplexing reconstruction for Fourier-transform ghost imaging via sparsity constraints

Ruiguo Zhu, Hong Yu, Ronghua Lu, Zhijie Tan, and Shensheng Han
Opt. Express 26(3) 2181-2190 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (5)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (9)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved