Fast Texture Synthesis in Adaptive Wavelet Packet Trees
Joint Authors
Sung, Tze-Yun
Hsin, Hsi-Chin
Juang, Ying-Shen
Cattani, Carlo
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-03-24
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Juang, Ying-Shen& Hsin, Hsi-Chin& Sung, Tze-Yun& Cattani, Carlo. 2013. Fast Texture Synthesis in Adaptive Wavelet Packet Trees. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009333
Modern Language Association (MLA)
Juang, Ying-Shen…[et al.]. Fast Texture Synthesis in Adaptive Wavelet Packet Trees. Mathematical Problems in Engineering No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-1009333
American Medical Association (AMA)
Juang, Ying-Shen& Hsin, Hsi-Chin& Sung, Tze-Yun& Cattani, Carlo. Fast Texture Synthesis in Adaptive Wavelet Packet Trees. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-1009333
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1009333