Context-based Space Filling Curves

dc.contributor.author	Dafner, Revital	en_US
dc.contributor.author	Cohen-Or, Daniel	en_US
dc.contributor.author	Matias, Yossi	en_US
dc.date.accessioned	2015-02-16T09:52:27Z
dc.date.available	2015-02-16T09:52:27Z
dc.date.issued	2000	en_US
dc.identifier.issn	1467-8659	en_US
dc.identifier.uri	http://dx.doi.org/10.1111/1467-8659.00413	en_US
dc.description.abstract	A context-based scanning technique for images is presented. An image is scanned along a context-based space filling curve that is computed so as to exploit inherent coherence in the image. The resulting one-dimensional representation of the image has improved autocorrelation compared with universal scans such as the Peano-Hilbert space filling curve. An efficient algorithm for computing context-based space filling curves is presented. We also discuss the potential of improved autocorrelation of context-based space filling curves for image and video lossless compression.	en_US
dc.publisher	Blackwell Publishers Ltd and the Eurographics Association	en_US
dc.title	Context-based Space Filling Curves	en_US
dc.description.seriesinformation	Computer Graphics Forum	en_US
dc.description.volume	19	en_US
dc.description.number	3	en_US
dc.identifier.doi	10.1111/1467-8659.00413	en_US
dc.identifier.pages	209-218	en_US