Multiresolution Image Representation Using Combined 2-D and 1-D Directional Filter Banks

Multiresolution Image Representation Using Combined 2-D and 1-D Directional Filter Banks
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DOI:
10.1109/tip.2008.2008078
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发表时间:
2009-02
影响因子:
10.6
通讯作者:
Yuichi Tanaka;M. Ikehara;Truong Q. Nguyen
Yuichi Tanaka;M. Ikehara;Truong Q. Nguyen
中科院分区:
计算机科学1区
文献类型:
--
作者:
Yuichi Tanaka;M. Ikehara;Truong Q. Nguyen

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本文提出了一种结合二维滤波器组(FB)和方向小波变换(WT)的多分辨率图像表示方法。与以前的一维、二维FB组合方法或自适应方向小波变换方法相比,所提出的方法实现简单,计算量小。此外,它们是非冗余变换,实现了类似于四叉树的多分辨率表示。在非线性逼近、图像编码和去噪方面的应用中,所提出的滤波器组比传统的可分离小波变换或轮廓小波具有更好的视觉质量和更高的峰值信噪比。
In this paper, effective multiresolution image representations using a combination of 2-D filter bank (FB) and directional wavelet transform (WT) are presented. The proposed methods yield simple implementation and low computation costs compared to previous 1-D and 2-D FB combinations or adaptive directional WT methods. Furthermore, they are nonredundant transforms and realize quad-tree like multiresolution representations. In applications on nonlinear approximation, image coding, and denoising, the proposed filter banks show visual quality improvements and have higher PSNR than the conventional separable WT or the contourlet.