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A Novel Memory-Efficient Fast Algorithm for 2-D

dc.contributor.authorWang, Huiyuan
dc.contributor.authorVieira, José
dc.contributor.authorJesus, Bruno
dc.contributor.authorDuarte, Isabel
dc.contributor.authorFerreira, Paulo
dc.date.accessioned2015-01-08T09:38:36Z
dc.date.available2015-01-08T09:38:36Z
dc.date.issued2010-06
dc.description.abstractThe 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.sponsorshipThis 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. 2009ZRB01675por
dc.identifier.doi10.1109/WCICA.2010.5553848
dc.identifier.isbn978-1-4244-6712-9
dc.identifier.urihttp://hdl.handle.net/10400.19/2502
dc.language.isoengpor
dc.peerreviewedyespor
dc.publisherIEEEpor
dc.subjectCompressed sensingpor
dc.subject2-D transformpor
dc.subjectImage reconstructionpor
dc.subjectImaging samplingpor
dc.titleA Novel Memory-Efficient Fast Algorithm for 2-Dpor
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceJinanpor
oaire.citation.endPage43por
oaire.citation.startPage40por
oaire.citation.titleProceedings of the 8th World Congress on Intelligent Control and Automationpor
rcaap.rightsclosedAccesspor
rcaap.typearticlepor

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