A data-flow multiprocessor architecture for the transform coding of regularly decomposed images

Alexandridis, NA; Tsanakas, PD; Konstantinidou, SV

dc.contributor.author	Alexandridis, NA	en
dc.contributor.author	Tsanakas, PD	en
dc.contributor.author	Konstantinidou, SV	en
dc.date.accessioned	2014-03-01T01:06:21Z
dc.date.available	2014-03-01T01:06:21Z
dc.date.issued	1985	en
dc.identifier.issn	0378-4754	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/9326
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-46549092608&partnerID=40&md5=745457e75625d5548b475aa99b537fb0	en
dc.subject.classification	Computer Science, Interdisciplinary Applications	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Mathematics, Applied	en
dc.title	A data-flow multiprocessor architecture for the transform coding of regularly decomposed images	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1985	en
heal.abstract	An architecture for the parallel implementation of an orthogonal transform of images is presented. Images are preprocessed by the ""regular decomposition"" procedure and converted into a quad-tree representation. The orthogonal transformation is performed progressivelly by adjusting to the various hierarchies of the quad-tree nodes. The architecture of the proposed machine is based on the data-driven model of computation in which an operation is executed when its operands are available. The specific requirements of the image processing algorithms have been taken into account, principally the efficient handling of array data-structures. The tagged-token method supports recursive operations and helps to better exploit the inherent parallelism of the transformation algorithms. © 1985.	en
heal.publisher	ELSEVIER SCIENCE BV	en
heal.journalName	Mathematics and Computers in Simulation	en
dc.identifier.isi	ISI:A1985ATV2500021	en
dc.identifier.volume	27	en
dc.identifier.issue	5-6	en
dc.identifier.spage	609	en
dc.identifier.epage	622	en