NDLI: Construction of NPR biorthogonal wavelet and its application in edge detection

Content Provider	IEEE Xplore Digital Library
Author	Qiang Zhu Qicheng Lao
Copyright Year	2010
Description	Author affiliation: Institute of Measurement and Control Technology, Xi'an Technological University, Xi'an, China (Qicheng Lao) \|\| Mechanical & Electrical Engineering Institute, Xi'an Technological University, Xi'an, China (Qiang Zhu)
Abstract	Based on parameterized algebraical method, the non-prefect reconstruction (NPR) biorthogonal wavelet is presented. According to the particularity of image edge detection process, the perfect construction condition is relaxed. The low pass decomposition filter of non-prefect reconstruction biorthogonal wavelet is even symmetry about zero location, so that the edge position is more accuracy in multi-scale decomposition. The high pass decomposition filter is odd symmetry about 1/2 location and the sign is monotonic. The wavelet with above properties can ensure the validity of edge detection.
Starting Page	1049
Ending Page	1053
File Size	427953
Page Count	5
File Format	PDF
ISBN	9781424465132
e-ISBN	9781424465163
DOI	10.1109/CISP.2010.5646925
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wavelet transforms filter banks Image edge detection Low pass filters non-prefect reconstruction symmetry Information filters Filter bank biorthogonal edge detection Image reconstruction
Content Type	Text
Resource Type	Article

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