NDLI: A general biorthogonal wavelet based on Karhunen

Content Provider	Springer Nature Link
Author	Kale, Mehmet Cemil
Copyright Year	2016
Abstract	The lifting style biorthogonal wavelet implementation has a nice property of enabling flexible design; it is immediately reversible and has a simple relation to subband filters. In this work, we present a general wavelet prediction (P) and update (U) filters of two-channel lifting structures. A previous research of the author introduced signal-specific wavelets, which minimizes the difference between block wavelet transform matrix of the wavelet and the Karhunen–Loéve transform of a stochastic process with certain autocorrelation sequence. This research introduces a general wavelet, which can work on any stochastic process. Numerical results are provided in terms of the filter coefficients and experimental performances on 16 test images.
Starting Page	791
Ending Page	794
Page Count	4
File Format	PDF
ISSN	18631703
Journal	Signal, Image and Video Processing
Volume Number	10
Issue Number	4
e-ISSN	18631711
Language	English
Publisher	Springer London
Publisher Date	2016-01-11
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biorthogonal wavelets Lifting scheme Block wavelet transform Filter design Signal, Image and Speech Processing Image Processing and Computer Vision Computer Imaging, Vision, Pattern Recognition and Graphics Multimedia Information Systems
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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A general biorthogonal wavelet based on Karhunen–Loéve transform approximation