A New Class of Non-Separable Symmetric Wavelets for Image Processing

Authors

  • Guido Andaloro Università degli Studi di Messina, Italy
  • Mariantonia Cotronei Università degli Studi Mediterranea di Reggio Calabria, Italy
  • Luigia Puccio Università degli Studi di Messina, Italy

DOI:

https://doi.org/10.1685/

Keywords:

Symmetry, wavelets, edge detection.

Abstract

It is known that wavelet analysis is a powerful mathematical tool for image processing. For such type of applications, symmetry of the wavelet filters is claimed to produce less visual artifacts than non-linear phase wavelets. On the other hand, the filters themselves can be separable or non-separable. While separable filters offer the advantage of low-complexity processing, their non-separable counterparts have more degrees of freedom and hence allow better designs. In this talk we discuss about new classes of non-separable wavelet filters with different types of symmetry. A scheme for their construction is given and some applications of edge detection over geometrical images and over industrial data are shown. [DOI: 10.1685/CSC09324] About DOI

Author Biography

  • Luigia Puccio, Università degli Studi di Messina, Italy
    Dipartimanto di Matematica

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Published

2009-08-12

Issue

Vol. 3 (2009)

Section

Articles

License

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