Image magnification using decimated orthogonal wavelet transform

Author

Nicolier, Fred ; Truchetet, Fred

Author_Institution

Bourgogne Univ., Le Creusot, France

Volume

2

fYear

2000

fDate

10-13 Sept. 2000

Firstpage

355

Abstract

Wavelet transforms computed by the decimated Mallat´s ( see A Wavelet Tour on Signal Processing. Academic Press, 2nd ed., 1999) algorithm present a pyramidal aspect. This pyramidal analysis combined with a prediction of high-frequency coefficients is used to produce a magnified signal. The prediction is based on a zero-crossings representation and on the construction of a multiscale edge-signature database. Performances are evaluated for synthetic-noisy and natural images. A improvement regarding some classical methods is observed.

Keywords

image processing; image representation; interpolation; noise; wavelet transforms; decimated Mallat´s algorithm; decimated orthogonal wavelet transform; detail extrapolation; high-frequency coefficients prediction; image magnification; magnified signal; multiscale edge-signature database; natural images; performance evaluation; pyramidal analysis; synthetic-noisy images; zero-crossings representation; Extrapolation; Image databases; Image reconstruction; Interpolation; Performance evaluation; Reconstruction algorithms; Signal analysis; Signal resolution; Spline; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2000. Proceedings. 2000 International Conference on

Conference_Location

Vancouver, BC, Canada

ISSN

1522-4880

Print_ISBN

0-7803-6297-7

Type

conf

DOI

10.1109/ICIP.2000.899389

Filename

899389