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An Improved Method of Image Enhancement Based on Wavelet Transform

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

For the problem of image enhancement, the theory and property of wavelet transform and mathematical morphology have been researched, the research situation of wavelet transform is fully analyzed, then the algorithms is improved for its characteristics, the method of image enhancement combined with mathematical morphology is proposed. Experiment results show that the method is simple and effective.

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References

  1. Tang, C., Huang, J.: Mathematical morpholog-y method and its application. Science Press, Beijing (1990)

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  2. Zhang, Q., Zhang, J., Wang, X.: A wavelet-based image edge enhancement algorithm. Computer Applications 26(z1), 49–50 (2006)

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  3. Tan, Y.: A wavelet thresholding image enhancement method based on edge detection. Information Development and Economy 17(18), 206–208 (2007)

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Author information

Authors and Affiliations

  1. Communication and Network Institute, Shenyang Ligong University, Shenyang, 110159, China

    Yueqiu Jiang & Yang Wang

  2. College of Information Science and Engineering, Shenyang Ligong University, Shenyang, 110159, China

    Hongwei Gao

  3. School of Software, Tianjin University, Tianjin, 300073, China

    Xiaojing Liu

Authors
  1. Yueqiu Jiang
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  2. Yang Wang
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  3. Hongwei Gao
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  4. Xiaojing Liu
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Jiang, Y., Wang, Y., Gao, H., Liu, X. (2011). An Improved Method of Image Enhancement Based on Wavelet Transform. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_2

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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