Abstract

In this paper, we present a three-dimensional (3D) compressed photon counting sensing based on axially distributed imaging structure. The proposed method can compress images with less data due to the sparse sensing of photon counting imaging system. Experimental results are presented to verify the proposed approach.

© 2015 Optical Society of America

PDF Article
This paper was not presented at the conference

More Like This
Lossless Compression of Elemental Images in Photon Counting Three-dimensional Integral Imaging

Inkyu Moon, Samarjit Das, Mingu Han, and Jonggob We
JTu4A.50 Applied Industrial Optics: Spectroscopy, Imaging and Metrology (AIO) 2014

Compressive Sensing for Photon Counting Integral Imaging

Yongri Piao, Wanhua Yang, Miao Zhang, Yu Zhang, and Jie Liu
M3B.4 Digital Holography and Three-Dimensional Imaging (DH) 2019

Photon counting three-dimensional passive sensing and object recognition

Seokwon Yeom, Edward Watson, and Bahram Javidi
CTuA3 Computational Optical Sensing and Imaging (COSI) 2007

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

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