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Two-dimensional Directional Wavelets in Image Processing by J.-P. Antoine; P. Vandergheynst; R. Murenzi is a Computer Science article available to read on EtoBox.

What is Two-dimensional Directional Wavelets in Image Processing about?

The two-dimensional (2-D) continuous wavelet transform (CWT) is characterized by a rotation parameter, in addition to the usual translations and dilations. This enables is to detect edges and directions in images, provided a directional wavelet is used. First we review the general properties of the 2-13 CWT and describe several useful representations. We describe various classes of wavelets, including the directional ones. Then we turn to the problem of wavelet calibration, in particular, the evaluation of the scale and angle resolving power of a wavelet. Finally we discuss several applications of directional wavelets.

Who reads Two-dimensional Directional Wavelets in Image Processing?

Author

J.-P. Antoine; P. Vandergheynst; R. Murenzi

Publisher

John Wiley and Sons; Wiley (John Wiley & Sons); John Wiley & Sons Inc.; Wiley (ISSN 0899-9457)

Published

1996

Language

EN

Field

Computer Science (Physical Sciences)