Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/10600
Title: Compressive sensing of images based on discrete periodic Radon transform
Authors: Ou, GW
Lun, DPK 
Ling, BWK
Issue Date: 2014
Publisher: Institution of Engineering and Technology
Source: Electronics letters, 2014, v. 50, no. 8, p. 591-593 How to cite?
Journal: Electronics letters 
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.
URI: http://hdl.handle.net/10397/10600
ISSN: 0013-5194
EISSN: 1350-911X
DOI: 10.1049/el.2014.0770
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