• DocumentCode
    1060934
  • Title

    Morse description and geometric encoding of digital elevation maps

  • Author

    Solé, Andrés ; Caselles, Vicent ; Sapiro, Guillermo ; Arándiga, Francisco

  • Author_Institution
    Dept. de Tecnologia, Univ. Pompeu-Fabra, Spain
  • Volume
    13
  • Issue
    9
  • fYear
    2004
  • Firstpage
    1245
  • Lastpage
    1262
  • Abstract
    Two complementary geometric structures for the topographic representation of an image are developed in this work. The first one computes a description of the Morse-topological structure of the image, while the second one computes a simplified version of its drainage structure. The topographic significance of the Morse and drainage structures of digital elevation maps (DEMs) suggests that they can been used as the basis of an efficient encoding scheme. As an application, we combine this geometric representation with an interpolation algorithm and lossless data compression schemes to develop a compression scheme for DEMs. This algorithm achieves high compression while controlling the maximum error in the decoded elevation map, a property that is necessary for the majority of applications dealing with DEMs. We present the underlying theory and compression results for standard DEM data.
  • Keywords
    data compression; geometric codes; image coding; image representation; image sampling; interpolation; digital elevation maps; drainage structures; geometric encoding; geometric sampling; image compression; image topographic representation; interpolation algorithm; morse description; Compression algorithms; Data compression; Decoding; Encoding; Engineering profession; Error correction; Image coding; Image sampling; Interpolation; Surface topography; Algorithms; Computer Simulation; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2004.832864
  • Filename
    1323105