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Author:

Fang, Liu (Fang, Liu.) | Biao, Yang (Biao, Yang.) | Li, Kai Gang (Li, Kai Gang.)

Indexed by:

EI Scopus

Abstract:

The image fusion algorithm based on adaptive dual-tree discrete wavelet packets(ADDWP) which combine the dual-tree discrete wavelet transform(DDWT) and the wavelet packets is proposed in this paper. In ADDWP, DDWT subbands are further decomposed into wavelet packets with anisotropic decomposition, so that the resulting wavelets have elongated support regions and more orientations than DDWT wavelets. To determine the decompoisition structure, we using the signal-to-noise ratio to estimate the distributing of the denoising in order to search the more denoising subbands to decomposition it again. So we can get adaptive decompoisition structure of wavelet packets. The new algorithm has significantly lower computational complexity. The proposed fusion scheme gives better performance. © 2012 IEEE.

Keyword:

Wavelet analysis Trees (mathematics) Acoustic noise Signal to noise ratio Image fusion Image processing Discrete wavelet transforms Wavelet decomposition

Author Community:

  • [ 1 ] [Fang, Liu]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Biao, Yang]Department of Automation, North China University of Technology, Beijing, 100041, China
  • [ 3 ] [Li, Kai Gang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Year: 2012

Page: 475-479

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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