Multichannel linear predictive coding of color images

Maragos, P; Mersereau, R; Schafer, R

dc.contributor.author	Maragos, P	en
dc.contributor.author	Mersereau, R	en
dc.contributor.author	Schafer, R	en
dc.date.accessioned	2014-03-01T02:47:34Z
dc.date.available	2014-03-01T02:47:34Z
dc.date.issued	1984	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/33239
dc.subject	Color Image	en
dc.subject	Information Rate	en
dc.subject	Linear Predictive	en
dc.subject	Linear Prediction Coding	en
dc.subject	Multispectral Images	en
dc.subject	Prediction Error	en
dc.subject	Single Channel	en
dc.subject	Multi Input Single Output	en
dc.title	Multichannel linear predictive coding of color images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICASSP.1984.1172459	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICASSP.1984.1172459	en
heal.publicationDate	1984	en
heal.abstract	This paper reports on a preliminary study of applying single-channel (scalar) and multichannel (vector) 2-D linear prediction to color image modeling and coding. Also, the novel idea of a multi-input single-output 2-D ADPCM coder is introduced. The results of this study indicate that texture information in multispectral images can be represented by linear prediction coefficients or matrices, where as the	en
heal.journalName	International Conference on Acoustics, Speech, and Signal Processing	en
dc.identifier.doi	10.1109/ICASSP.1984.1172459	en