A DUAL-TREE COMPLEX WAVELET WITH APPLICATION IN IMAGE DENOISING

被引：0

作者：

Baradarani, Aryaz ^{[1
]}

Yu, Runyi ^{[1
]}

机构：

[1] Eastern Mediterranean Univ, Dept Elect & Elect Engn, Gazimagusa, Turkey

来源：

ICSPC: 2007 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS, VOLS 1-3, PROCEEDINGS | 2007年

关键词：

Dual-tree complex wavelets; wavelet transforms; image denoising; bivariate shrinkage; HILBERT TRANSFORM PAIRS;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper introduces a recently designed dual-tree complex wavelet and studies its application in image denoising. The primal filter bank is selected to be the Daubechies 9/7 filter bank, and the dual filter bank is designed to have length of 10/8; both filter banks are biorthogonal and symmetric. The wavelets of the dual-tree filter bank form (almost) Hilbert transform pairs, allowing nearly shift-invariance and good directionality of the dual-tree complex wavelet transform. The transform is then used in image denoising. We employ the bivariate shrinkage algorithm for wavelet coefficient modeling and thresholding. Various images are tested. The experimental results compare favorably to some other dual-tree complex wavelets.

引用

页码：1203 / 1206

页数：4

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