Multichannel regularized iterative restoration of motion compensated image sequences

Choi, MG; Galatsanos, NP; Katsaggelos, AK

dc.contributor.author	Choi, MG	en
dc.contributor.author	Galatsanos, NP	en
dc.contributor.author	Katsaggelos, AK	en
dc.date.accessioned	2014-03-01T01:44:49Z
dc.date.available	2014-03-01T01:44:49Z
dc.date.issued	1996	en
dc.identifier.issn	10473203	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/24489
dc.subject.other	Algorithms	en
dc.subject.other	Iterative methods	en
dc.subject.other	Least squares approximations	en
dc.subject.other	Optical correlation	en
dc.subject.other	Vector quantization	en
dc.subject.other	Displacement vector field	en
dc.subject.other	Image sequence degradation	en
dc.subject.other	Multichannel restoration	en
dc.subject.other	Image reconstruction	en
dc.title	Multichannel regularized iterative restoration of motion compensated image sequences	en
heal.type	journalArticle	en
heal.identifier.primary	10.1006/jvci.1996.0022	en
heal.identifier.secondary	http://dx.doi.org/10.1006/jvci.1996.0022	en
heal.publicationDate	1996	en
heal.abstract	Restoration of image sequences is an important problem that can be encountered in many image processing applications, such as visual communications, robot guidance, and target tracking. The independent restoration of each frame in an image sequence is a suboptimal approach because the between-frame correlations are not explicitly taken into consideration. In this paper we address this problem by proposing a multichannel restoration approach. The multiple time-frames (channels) of the image sequence are restored simultaneously by using a multichannel regularized least-squares formulation of the problem. The regularization operator captures both within- and between-frame (channel) properties of the image sequence with the explicit use of the displacement vector field. We propose a number of different approaches to obtain the multichannel regularization operator, as well as an algorithm to iteratively compute the restored images. We present experiments that demonstrate the value of the proposed multichannel approach. © 1996 Academic Press, Inc.	en
heal.journalName	Journal of Visual Communication and Image Representation	en
dc.identifier.doi	10.1006/jvci.1996.0022	en
dc.identifier.volume	7	en
dc.identifier.issue	3	en
dc.identifier.spage	244	en
dc.identifier.epage	258	en