Title :
Image magnification using decimated orthogonal wavelet transform
Author :
Nicolier, Fred ; Truchetet, Fred
Author_Institution :
Bourgogne Univ., Le Creusot, France
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;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899389
