• DocumentCode
    3707476
  • Title

    Shape encoding for edge map image compression

  • Author

    Demetrios P. Gerogiannis;Christophoros Nikou;Lisimachos P. Kondi

  • Author_Institution
    Department of Computer Science and Engineering, University of Ioannina, 45110 Ioannina, Greece
  • fYear
    2015
  • Firstpage
    1563
  • Lastpage
    1567
  • Abstract
    A method for the efficient encoding and decoding of a shape with application to edge map image compression is proposed. The method relies on the modeling of the manifold of a shape by line segments. Then, encoding is performed by collecting the characteristic features of each line segment, namely the starting and ending points and the number of points contributing to the computation of the corresponding segment. The reconstruction of the shape may be obtained by uniform sampling of points from each line segment computed in the encoding process. Experimental analysis demonstrates that in case of employing a robust and efficient line segment detection algorithm, the proposed encoding/decoding scheme exhibits high compression rates, compared to widely used lossless compression methods, while providing low distortion values.
  • Keywords
    "Shape","Image segmentation","Image coding","Image edge detection","Image reconstruction","Distortion","Manifolds"
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ICIP.2015.7351063
  • Filename
    7351063