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A Wavelet Multiresolution Edge Analysis Method for Recovery of Depth from Defocused Images

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  • First Online:
Wavelet Analysis and Its Applications (WAA 2001)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2251))

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Abstract

A approach of depth recovery from defocused image based on wavelet multiresolution analysis is proposed. The Lipschitz exponent is used to describe the singularity of the edge of an object in image. A curve of relationship between Lipschitz exponent and the distance from interested object to camera is obtained. Experiment proved the effective of the method.

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References

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Author information

Authors and Affiliations

  1. Dept. of Physics and Electronic Science, 541004, Guilin, Guangxi

    Wang Qiang & Hu Weiping

  2. Dept. Of Computer Science and Engineering, Beijing University of Aeronautics and Astronauts, 100083, Beijing

    Hu Jianping & Hu Kai

Authors
  1. Wang Qiang
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  2. Hu Weiping
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  3. Hu Jianping
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  4. Hu Kai
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Yuan Y. Tang , Pong C. Yuen  & Chun-hung Li ,  & 

  2. Department of Mathematics, Washington University, Cupples I, Campus Box 1146, 63130, St. Louis, Missouri, USA

    Victor Wickerhauser

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© 2001 Springer-Verlag Berlin Heidelberg

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Qiang, W., Weiping, H., Jianping, H., Kai, H. (2001). A Wavelet Multiresolution Edge Analysis Method for Recovery of Depth from Defocused Images. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_27

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  • DOI: https://doi.org/10.1007/3-540-45333-4_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43034-6

  • Online ISBN: 978-3-540-45333-8

  • eBook Packages: Springer Book Archive

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