Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform

Authors:
Koichi Niijima;Shigeru Takano
Affiliations:
-;-
Venue:
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Year:
2002

Citing 2
Cited 0

Characterization of Signals from Multiscale Edges

IEEE Transactions on Pattern Analysis and Machine Intelligence
Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters

DS '99 Proceedings of the Second International Conference on Discovery Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper describes a new method for finding portions having the same feature in target signals or images from a time series or a reference image. The new method uses an integer-type Haar lifting wavelet transform. Free parameters contained in this transform are learned by using training signals or images. The advantage of this method is to be able to find portions having the same feature in the targets, and to realize robust extraction due to rounding-off arithmetic in the trained transform. In simulations, we show how well the method finds geomagnetic sudden commencements from time series of geomagnetic horizontal components, and extracts facial images from a snapshot.