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Image Restoration Using Piecewise Iterative Curve Fitting and Texture Synthesis

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Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues (ICIC 2008)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5226))

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Abstract

In this paper, we present a novel scheme for parsing images into medium level vision representation: contour curve and region texture. This scheme is integrated with piecewise iterative curve fitting and texture synthesis, in which an original image is analyzed at the representation side so as to obtain contours and local texture exemplars. The contour of each region will be processed piecewise by iterative curve-fitting procedure. At the reconstruction side, transmitted coefficients denoted to structural information of regions will be used to reconstruct contours. Texture synthesis algorithm is adopted to restore the rest. Experimental results indicate that our scheme can be done successfully for images with massive structural and stochastic textures. Compared with JPEG, our method can get more coding gain but remain vast information people care.

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Authors and Affiliations

  1. Information Engineering School, Communication University of China, 100024, Beijing, China

    Ke Sun, Yingyun Yang, Long Ye & Qin Zhang

Authors
  1. Ke Sun
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  2. Yingyun Yang
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  3. Long Ye
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  4. Qin Zhang
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Editor information

Editors and Affiliations

  1. Department of Automation, University of Science and Technology of China, 230026, Hefei, Anhui, China

    De-Shuang Huang

  2. Applied Computational Intelligence Laboratory, P.O. Box

    Donald C. Wunsch II

  3. Arlington, USA

    Daniel S. Levine

  4. Graduate School of Electrical Engineering, University of Ulsan, Korea, San 29, Mugeo-Dong, 680 - 749, Nam-Ku, Ulsan, Korea

    Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Sun, K., Yang, Y., Ye, L., Zhang, Q. (2008). Image Restoration Using Piecewise Iterative Curve Fitting and Texture Synthesis. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2008. Lecture Notes in Computer Science, vol 5226. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87442-3_130

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  • DOI: https://doi.org/10.1007/978-3-540-87442-3_130

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87440-9

  • Online ISBN: 978-3-540-87442-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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