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2003

Antipole Clustering for Fast Texture Synthesis

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Antipole Clustering for Fast Texture Synthesis
This paper describes a new method for analysis/synthesis of textures using a non-parametric multi-resolution approach able to reproduce efficiently the generative stochastic process of a wide class of real texture images. This is realized through a new data structure the Antipole Tree and a suitable research strategy able to outperform both the classical linear full-search heuristic and the TSVQ (Tree Structure Vector Quantization) acceleration used in previous related works. Experimental results performed on an exhaustive set of textures [VisTex] show the effectiveness of the proposed approach. Keywords Texture Synthesis, Pyramid Decomposition, Antipole Clustering, Nearest-neighbor.
Sebastiano Battiato, Alfredo Pulvirenti, Diego Ref
Added 01 Nov 2010
Updated 07 Apr 2013
Type Conference
Year 2003
Where WSCG
Authors Sebastiano Battiato, Alfredo Pulvirenti, Diego Reforgiato Recupero
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