Fast wavelet transform domain texture synthesis
conference contributionposted on 2010-07-16, 12:25 authored by Dhammike S. Wickramanayake, Eran Edirisinghe, Helmut Bez
Block based texture synthesis algorithms have shown better results than others as they help to preserve the global structure. Previous research has proposed several approaches in the pixel domain, but little effort has been taken in the synthesis of texture in a multiresolution domain. We propose a multiresolution framework in which coefficient-blocks of the spatio-frequency components of the input texture are efficiently stitched together to form the corresponding components of the output texture. We propose two algorithms to this effect. In the first, we use a constant block size throughout the algorithm. In the second, we adaptively split blocks so as to use the largest possible block size in order to preserve the global structure, while maintaining the mismatched error of the overlapped boundaries below a certain error tolerance. Special consideration is given to minimization of the computational cost, throughout the algorithm designs. We show that the adaptation of the multiresolution approach results in a fast, cost-effective, flexible texture synthesis algorithm that is capable of being used in modern, bandwidth-adaptive, real-time imaging applications. A collection of regular and stochastic test textures is used to prove the effectiveness of the proposed algorithm.
- Computer Science
CitationWICKRAMANAYAKE, D.S., EDIRISINGHE, E.A. and BEZ, H.E., 2004. Fast wavelet transform domain texture synthesis. IN: Panchanathan, S. and Vasudev, B. (eds.), Visual Communications and Image Processing 2004, Proc. of SPIE-IS&T Electronic Imaging, 5308, 979, 10pp.
Publisher© 2004 SPIE
- VoR (Version of Record)
NotesCopyright 2004 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. This paper can also be found at: http://dx.doi.org/10.1117/12.526801