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EnglishIt 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 to edge detection over geometrical images and over industrial data are shown.
| Titolo: | A new class of non-separable symmetric wavelets for image processing | |
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| Data di pubblicazione: | 2009 | |
| Rivista: | ||
| Handle: | http://hdl.handle.net/20.500.12318/5334 | |
| Appare nelle tipologie: | 1.1 Articolo in rivista |
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