International Conference on Computer Analysis of Images and Patterns

CAIP 2003: Computer Analysis of Images and Patterns pp 706-713

PDE Based Method for Superresolution of Gray-Level Images

  • A. Torii
  • Y. Wakazono
  • H. Murakami
  • A. Imiya
Conference paper

DOI: 10.1007/978-3-540-45179-2_86

Volume 2756 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Torii A., Wakazono Y., Murakami H., Imiya A. (2003) PDE Based Method for Superresolution of Gray-Level Images. In: Petkov N., Westenberg M.A. (eds) Computer Analysis of Images and Patterns. CAIP 2003. Lecture Notes in Computer Science, vol 2756. Springer, Berlin, Heidelberg

Abstract

We propose a superresolution method for gray-level images. The method is based on resolution conversion of discrete terrains in a space by regarding gray-level images as discrete terrains. The deformation process using a discrete diffusion enables us to estimate the smooth boundary surface from a low-resolution data of discrete terrain. Furthermore, the resampling process of the estimated smooth boundary surface produces a high-resolution data of discrete terrain.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • A. Torii
    • 1
  • Y. Wakazono
    • 1
  • H. Murakami
    • 1
  • A. Imiya
    • 2
    • 3
  1. 1.School of Science and TechnologyChiba UniversityJapan
  2. 2.National Institute of InformaticsJapan
  3. 3.Institute of Media and Information TechnologyChiba UniversityJapan