a new texture synthesis algorithm based on wavelet packet tree

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ID: 193618
2012
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Abstract
This paper presents an efficient texture synthesis based on wavelet packet tree (TSWPT). It has the advantage of using a multiresolution representation with a greater diversity of bases functions for the nonlinear time series applications such as fractal images. The input image is decomposed into wavelet packet coefficients, which are rearranged and organized to form hierarchical trees called wavelet packet trees. A 2-step matching, that is, coarse matching based on low-frequency wavelet packet coefficients followed by fine matching based on middle-high-frequency wavelet packet coefficients, is proposed for texture synthesis. Experimental results show that the TSWPT algorithm is preferable, especially in terms of computation time.
Reference Key
hsin2012mathematicala Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Hsi Chin Hsin;Tze-Yun Sung;Yaw-Shih Shieh;Carlo Cattani
Journal journal of power sources
Year 2012
DOI
10.1155/2012/305384
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