Publication
A Novel Memory-Efficient Fast Algorithm for 2-D
| dc.contributor.author | Wang, Huiyuan | |
| dc.contributor.author | Vieira, José | |
| dc.contributor.author | Jesus, Bruno | |
| dc.contributor.author | Duarte, Isabel | |
| dc.contributor.author | Ferreira, Paulo | |
| dc.date.accessioned | 2015-01-08T09:38:36Z | |
| dc.date.available | 2015-01-08T09:38:36Z | |
| dc.date.issued | 2010-06 | |
| dc.description.abstract | The basic theories of compressed sensing (CS) turn around the sampling and reconstruction of 1-D signals. To deal with 2-D signals (images), the conventional treatment is to convert them into1-D vectors. This has drawbacks, including huge memory demands and difficulties in the design and calibration of the optical imaging systems. As a result, in 2009 some researchers proposed the concept of compressed imaging (CI) with separable sensing operators. However, their work is only focused on the sampling phase. In this paper, we propose a scheme for 2-D CS that is memory- and computation-efficient in both sampling and reconstruction. This is achieved by decomposing the 2-D CS problem into two stages with the help of an intermediate image. The intermediate image is then solved by direct orthogonal linear transform and the original image is reconstructed by solving a set of 1-D l1-norm minimization sub-problems. The experimental results confirm the feasibility of the proposed scheme. | por |
| dc.description.sponsorship | This work is supported in part by FCT, Portugal, under Ciência 2007 program, the National Natural Science Foundation of China under grant no. 60872119 and the Natural Science Foundation of Shandong Province under grant no. 2009ZRB01675 | por |
| dc.identifier.doi | 10.1109/WCICA.2010.5553848 | |
| dc.identifier.isbn | 978-1-4244-6712-9 | |
| dc.identifier.uri | http://hdl.handle.net/10400.19/2502 | |
| dc.language.iso | eng | por |
| dc.peerreviewed | yes | por |
| dc.publisher | IEEE | por |
| dc.subject | Compressed sensing | por |
| dc.subject | 2-D transform | por |
| dc.subject | Image reconstruction | por |
| dc.subject | Imaging sampling | por |
| dc.title | A Novel Memory-Efficient Fast Algorithm for 2-D | por |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.citation.conferencePlace | Jinan | por |
| oaire.citation.endPage | 43 | por |
| oaire.citation.startPage | 40 | por |
| oaire.citation.title | Proceedings of the 8th World Congress on Intelligent Control and Automation | por |
| rcaap.rights | closedAccess | por |
| rcaap.type | article | por |