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A New Texture Synthesis Algorithm Based on Wavelet Packet Tree

机译：基于小波包树的纹理合成新算法

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摘要

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.
机译：本文提出了一种基于小波包树（TSWPT）的有效纹理合成。对于非线性时间序列应用（例如分形图像），它具有使用具有更大多样性基函数的多分辨率表示的优势。将输入图像分解为小波包系数，将其重新排列和组织以形成称为小波包树的分层树。针对纹理合成，提出了两步匹配，即基于低频小波包系数的粗匹配，然后基于中高频小波包系数的细匹配。实验结果表明，TSWPT算法是优选的，特别是在计算时间方面。

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  • 来源
    《Mathematical Problems in Engineering》 |2012年第5期|p.38.1-38.12|共12页
  • 作者

    Hsi Chin Hsin; Tze-Yun Sung; Yaw-Shih Shieh; Carlo Cattani;

  • 作者单位

    Department of Computer Science and Information Engineering, National United University, Miaoli 36003, Taiwan;

    Department of Electronics Engineering, Chung Hua University, Hsinchu City 30012, Taiwan;

    Department of Electronics Engineering, Chung Hua University, Hsinchu City 30012, Taiwan;

    Department of Mathematics, University of Salerno, Via Ponte Don Melillo, 84084 Fisciano, Italy;

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