Paper Info
Title
Finding of Signal and Image by Integer-Type Haar Lifting Wavelet Transform
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.
Year
DOI
Venue
2002
10.1007/3-540-45884-0_37
Progress in Discovery Science
Keywords
Field
DocType
time series,target signal,free parameter,reference image,robust extraction,new method,geomagnetic sudden commencement,integer-type haar lifting wavelet,integer-type haar lifting,extracts facial image,geomagnetic horizontal component,wavelet transform
Constant Q transform,Computer vision,Lifting scheme,Computer science,Second-generation wavelet transform,Discrete wavelet transform,Artificial intelligence,Stationary wavelet transform,S transform,Wavelet transform,Wavelet
Conference
ISBN
Citations 
PageRank 
3-540-43338-4
1
0.40
References 
Authors
5
2
Name
Order
Citations
PageRank
Koichi Niijima111723.44
Shigeru Takano28220.39