Compressive sensing of images based on discrete periodic Radon transform

G. W. Ou, Pak Kong Lun, B. W.K. Ling

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)591-593
Number of pages3
JournalElectronics Letters
Issue number8
Publication statusPublished - 10 Apr 2014

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


Dive into the research topics of 'Compressive sensing of images based on discrete periodic Radon transform'. Together they form a unique fingerprint.

Cite this