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- Title
Compressive sensing of images based on discrete periodic Radon transform.
- Authors
G.-W. Ou; D. P.-K. Lun; B. W.-K. Ling
- 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.
- Subjects
COMPRESSED sensing; RADON transforms; INTEGRAL transforms; SIGNAL processing; HADAMARD matrices
- Publication
Electronics Letters (Wiley-Blackwell), 2014, Vol 50, Issue 8, p591
- ISSN
0013-5194
- Publication type
Article
- DOI
10.1049/el.2014.0770