Compressive sensing of images based on discrete periodic radon transform

Author

Ou, G.-W. ; Lun, D.P.-K. ; Ling, Bingo Wing-Kuen

Author_Institution

Dept. of Electron. & Inf. Eng., Hong Kong Polytech. Univ., Kowloon, China

Volume

50

Issue

8

fYear

2014

fDate

April 10 2014

Firstpage

591

Lastpage

593

Abstract

A new compressive sensing (CS) scheme using the structured random matrix and the discrete periodic Radon transform (DPRT) is proposed. The new scheme first pre-randomises the sensing image and the DPRT is applied to the randomised samples to generate the so-called DPRT projections. They are then randomly selected to obtain the final sensing measurements. As the DPRT is friendly to hardware/optics implementation, it improves the operability and lowers the cost for real-time CS applications. Compared with other similar transforms such as the Walsh-Hadamard transform, the proposed DPRT scheme gives much better reconstructed images as shown in the simulation results.

Keywords

Radon transforms; compressed sensing; discrete Fourier transforms; matrix algebra; random processes; DPRT projection generation; compressive sensing image scheme; discrete periodic Radon transform; hardware-optics implementation; randomised image samples; real-time CS applications; sensing measurements; structured random matrix;

fLanguage

English

Journal_Title

Electronics Letters

Publisher

iet

ISSN

0013-5194

Type

jour

DOI

10.1049/el.2014.0770

Filename

6802148