Abstract

We present a novel compressive spectral imaging technique that attains spatially resolved ultraspectral resolution. The technique employs a multiscale sampling technique based on the Hadamard basis for the single pixel hyperspectral imager. The proposed multiscale sampling method offers high-quality images at a low compression ratio while also facilitating a preview image at a lower resolution by using the fast Hadamard transform.

© 2019 Optical Society of America

Efficient ordering of the Hadamard basis for single pixel imaging

Lourdes López-García, William Cruz-Santos, Anmi García-Arellano, Pedro Filio-Aguilar, José A. Cisneros-Martínez, and Rubén Ramos-García
Opt. Express 30(8) 13714-13732 (2022)

Image quality of compressive single-pixel imaging using different Hadamard orderings

Pedro G. Vaz, Daniela Amaral, L. F. Requicha Ferreira, Miguel Morgado, and João Cardoso
Opt. Express 28(8) 11666-11681 (2020)

Single-pixel compressive diffractive imaging with structured illumination

Ryoichi Horisaki, Hiroaki Matsui, and Jun Tanida
Appl. Opt. 56(14) 4085-4089 (2017)

Radon single-pixel imaging with projective sampling

Shi Dongfeng, Huang Jian, Meng Wenwen, Yin Kaixin, Sun Baoqing, Wang Yingjian, Yuan Kee, Xie Chenbo, Liu Dong, and Zhu Wenyue
Opt. Express 27(10) 14594-14609 (2019)

Characterization of a compressive imaging system using laboratory and natural light scenes

Stephen J. Olivas, Yaron Rachlin, Lydia Gu, Brian Gardiner, Robin Dawson, Juha-Pekka Laine, and Joseph E. Ford
Appl. Opt. 52(19) 4515-4526 (2013)