The Hyperanalytic Wavelet Packets - A solution to increase the directional selectivity in image analysis

Author

Nafornita, C. ; Isar, A. ; Nafornita, Ioan

Author_Institution

Politeh. Univ. of Timisoara, Timisoara, Romania

fYear

2012

fDate

15-16 Nov. 2012

Firstpage

231

Lastpage

234

Abstract

We propose a solution to increase the directional selectivity in image analysis based on wavelets theory. The classical two dimensional (2d) Discrete Wavelet Transform (2d-DWT) has a poor directional selectivity, separating only three directions. The directional selectivity can be improved by using 2d Discrete Wavelet Packets Transform (2d-DWPT). Neither one is able to separate directions with opposite orientations. This separation can be done by using a complex wavelet or wavelet packets transform, such as Hyperanalytic Wavelet Packets Transform (HWPT). We analyze the directional selectivity of the HWPT and we propose an algorithm for the detection of the principal directions in a given image.

Keywords

discrete wavelet transforms; image processing; 2D discrete wavelet packets transform; 2D discrete wavelet transform; 2D-DWPT; 2D-DWT; HWPT; directional selectivity; hyperanalytic wavelet packets transform; image analysis; wavelets theory; Discrete wavelet transforms; Filter banks; Filtering theory; Wavelet analysis; Wavelet packets; directional selectivity; hyperanalytic transform; principal directions; wavelet packets;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics and Telecommunications (ISETC), 2012 10th International Symposium on

Conference_Location

Timisoara

Print_ISBN

978-1-4673-1177-9

Type

conf

DOI

10.1109/ISETC.2012.6408041

Filename

6408041