Fast Texture Synthesis in Adaptive Wavelet Packet Trees

Wavelet packet transform known as a substantial extension of wavelet transform has drawn a lot of attention to visual applications. In this paper, we advocate using adaptive wavelet packet transform for texture synthesis. The adaptive wavelet packet coefficients of an image are organized into hierar...

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Main Authors: Ying-Shen Juang, Hsi-Chin Hsin, Tze-Yun Sung, Carlo Cattani
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/416186
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spelling doaj-cceaf55f2bf944d2a17c5120e857600a2020-11-24T21:13:45ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/416186416186Fast Texture Synthesis in Adaptive Wavelet Packet TreesYing-Shen Juang0Hsi-Chin Hsin1Tze-Yun Sung2Carlo Cattani3Department of Business Administration, Chung Hua University, Hsinchu City 30012, TaiwanDepartment of Computer Science and Information Engineering, National United University, Miaoli 36003, TaiwanDepartment of Electronics Engineering, Chung Hua University, Hsinchu City 30012, TaiwanDepartment of Mathematics, University of Salerno, Via Ponte Don Melillo, 84084 Fisciano, ItalyWavelet packet transform known as a substantial extension of wavelet transform has drawn a lot of attention to visual applications. In this paper, we advocate using adaptive wavelet packet transform for texture synthesis. The adaptive wavelet packet coefficients of an image are organized into hierarchical trees called adaptive wavelet packet trees, based on which an efficient algorithm has been proposed to speed up the synthesis process, from the low-frequency tree nodes representing the global characteristics of textures to the high-frequency tree nodes representing the local details. Experimental results show that the texture synthesis in the adaptive wavelet packet trees (TSIAWPT) algorithm is suitable for a variety of textures and is preferable in terms of computation time.http://dx.doi.org/10.1155/2013/416186
collection DOAJ
language English
format Article
sources DOAJ
author Ying-Shen Juang
Hsi-Chin Hsin
Tze-Yun Sung
Carlo Cattani
spellingShingle Ying-Shen Juang
Hsi-Chin Hsin
Tze-Yun Sung
Carlo Cattani
Fast Texture Synthesis in Adaptive Wavelet Packet Trees
Mathematical Problems in Engineering
author_facet Ying-Shen Juang
Hsi-Chin Hsin
Tze-Yun Sung
Carlo Cattani
author_sort Ying-Shen Juang
title Fast Texture Synthesis in Adaptive Wavelet Packet Trees
title_short Fast Texture Synthesis in Adaptive Wavelet Packet Trees
title_full Fast Texture Synthesis in Adaptive Wavelet Packet Trees
title_fullStr Fast Texture Synthesis in Adaptive Wavelet Packet Trees
title_full_unstemmed Fast Texture Synthesis in Adaptive Wavelet Packet Trees
title_sort fast texture synthesis in adaptive wavelet packet trees
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description Wavelet packet transform known as a substantial extension of wavelet transform has drawn a lot of attention to visual applications. In this paper, we advocate using adaptive wavelet packet transform for texture synthesis. The adaptive wavelet packet coefficients of an image are organized into hierarchical trees called adaptive wavelet packet trees, based on which an efficient algorithm has been proposed to speed up the synthesis process, from the low-frequency tree nodes representing the global characteristics of textures to the high-frequency tree nodes representing the local details. Experimental results show that the texture synthesis in the adaptive wavelet packet trees (TSIAWPT) algorithm is suitable for a variety of textures and is preferable in terms of computation time.
url http://dx.doi.org/10.1155/2013/416186
work_keys_str_mv AT yingshenjuang fasttexturesynthesisinadaptivewaveletpackettrees
AT hsichinhsin fasttexturesynthesisinadaptivewaveletpackettrees
AT tzeyunsung fasttexturesynthesisinadaptivewaveletpackettrees
AT carlocattani fasttexturesynthesisinadaptivewaveletpackettrees
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