2D dual-tree complex biorthogonal M-band wavelet transform

被引：0

作者：

Chaux, Caroline ^{[1
]}

Pesquet, Jean-Christophe ^{[1
]}

Duval, Laurent ^{[2
]}

机构：

[1] Univ Marne La Vallee, Inst Gaspard Monge, F-77454 Marne La Vallee, France

[2] IFP, Inst Francais Petr, Technol Comp Sci & Appl Math Div, F-92500 Malmaison, France

来源：

2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL III, PTS 1-3, PROCEEDINGS | 2007年

关键词：

wavelet transforms; Hilbert transforms; image analysis; image processing; Gaussian noise; BASES; PAIRS;

D O I：

暂无

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

Dual-tree wavelet transforms have recently gained popularity [1] since they provide low-redundancy directional analyses of images. In our recent work, dyadic real dual-tree decompositions have been extended to the M-band case, so adding much flexibility to this analysis tool. In this work, we propose to further extend this framework on two fronts by considering (i) biorthogonal and (ii) complex M-band dual-tree decompositions. Denoising results are finally provided to demonstrate the validity of the proposed design rules.

引用

页码：845 / +

页数：2

共 9 条

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