Hierarchical coding of binary images

Quadtrees are a compact hierarchical method of representation of images. In this paper, we explore a number of hierarchical image representations as applied to binary images, of which quadtrees are a single exemplar. We discuss quadtrees, binary trees, and an adaptive hierarchical method. Extending...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 7(1985), 3 vom: 01. März, Seite 284-98
1. Verfasser: Cohen, Y (VerfasserIn)
Weitere Verfasser: Landy, M S, Pavel, M
Format: Aufsatz
Sprache:English
Veröffentlicht: 1985
Zugriff auf das übergeordnete Werk:IEEE transactions on pattern analysis and machine intelligence
Schlagworte:Journal Article
Beschreibung
Zusammenfassung:Quadtrees are a compact hierarchical method of representation of images. In this paper, we explore a number of hierarchical image representations as applied to binary images, of which quadtrees are a single exemplar. We discuss quadtrees, binary trees, and an adaptive hierarchical method. Extending these methods into the third dimension of time results in several other methods. All of these methods are discussed in terms of time complexity, worst case and average compression of random images, and compression results on binary images derived from natural scenes. The results indicate that quadtrees are the most effective for two-dimensional images, but the adaptive algorithms are more effective for dynamic image sequences
Beschreibung:Date Completed 02.10.2012
Date Revised 12.11.2019
published: Print
Citation Status PubMed-not-MEDLINE
ISSN:1939-3539