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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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2013/416186 |
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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 |
_version_ |
1716748323981885440 |