Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/60453
Title: Real-time seamless texture synthesis based on patch quantization clustering
Authors: Bao, P
Ma, X
Siu, WC 
Keywords: Texture synthesis
Patch-based pasting
Uniformly distributed patch
Vector quantization
Issue Date: 2006
Publisher: World Scientific
Source: International journal of image and graphics, 2006, v. 6, no. 3, p. 475-495 How to cite?
Journal: International journal of image and graphics 
Abstract: In this paper, we present a novel method for the optimal texture sampling and texture synthesis using vector quantization clustering. The synthesizing process selects an initial texture block from the input sample texture and then iteratively searches all the texture patches from the sampled texture space for a patch whose boundary best matches the current boundary of the synthesized texture. To control the number of the searching patches while preserving the seamless visual quality, we present two effective patch sampling techniques, namely uniformly distributed patch sampling and patch quantization clustering. The sampled texture patches will then be further optimized using principle component analysis. In this scheme, the complexity of the patch search in each step can be significantly reduced and thus the seamless texture synthesis can be performed in real-time. Experimental results show that the proposed schemes are of excellent efficiency for the visually seamless texture synthesis of a wide variety of textures ranging from regular to stochastic can be achieved.
URI: http://hdl.handle.net/10397/60453
ISSN: 0219-4678
EISSN: 1793-6756
DOI: 10.1142/S0219467806002331
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