| Autor: |
Bebis, George, Boyle, Richard, Koracin, Darko, Parvin, Bahram, Itani, Abdul, Das, Manohar |
| Zdroj: |
Advances in Visual Computing; 2005, p413-419, 7p |
| Abstrakt: |
In this paper we introduce a novel self-describing context-based pixel ordering for digital images. Our method is inherently reversible and uses the pixel value to guide the exploration of the two-dimensional image space, in contrast to universal scans where the traversal is based solely on the pixel position. The outcome is a one-dimensional representation of the image with enhanced autocorrelation. When used as a front-end to a memoryless entropy coder, empirical results show that our method, on average, improves the compression rate by 11.56% and 5.23% compared to raster-scan and Hilbert space-filling curve, respectively. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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