Image interpolation based on median-type filters

Zeng, B; Venetsanopoulos, AN

dc.contributor.author	Zeng, B	en
dc.contributor.author	Venetsanopoulos, AN	en
dc.date.accessioned	2014-03-01T01:47:14Z
dc.date.available	2014-03-01T01:47:14Z
dc.date.issued	1998	en
dc.identifier.issn	00913286	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25179
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-1542465945&partnerID=40&md5=6153ac6326fe72d556b46a09907ca7af	en
dc.subject	Image decimation and interpolation	en
dc.subject	Interpolative Joint Photographic Experts Group coding	en
dc.subject	Median-type filters	en
dc.subject	Neural networks	en
dc.title	Image interpolation based on median-type filters	en
heal.type	journalArticle	en
heal.publicationDate	1998	en
heal.abstract	Image interpolation based on median-type filters is investigated. We study this problem for two decimation schemes that are most commonly used in practice: (1) quincunx lattice and (2) rectangular lattice. For each decimation lattice, we propose a number of interpolation structures that are based on some median or finite impulse response (FIR)-median hybrid filters. Extensive simulations show that the proposed median-based interpolators outperform significantly as compared with linear schemes. To further verify the effectiveness of these median-based interpolators, we compare them with multilayer neural networks designed through a training process, and still show a preference for the median-based interpolators. As an application, they are used in an interpolative Joint Photographic Experts Group (JPEG) coding scheme to suppress blocking artifacts at very low bit rates. © 1998 Society of Photo-Optical Instrumentation Engineers.	en
heal.journalName	Optical Engineering	en
dc.identifier.volume	37	en
dc.identifier.issue	9	en
dc.identifier.spage	2472	en
dc.identifier.epage	2482	en