Image Denoising Using Orthogonal Spline

被引:0
|
作者
Zhou, Kaiting [1 ]
Zheng, Lixin [1 ]
Lin, Fuyong
机构
[1] Huaqiao Univ, Coll Informat Sci & Engn, Quanzhou, Peoples R China
关键词
image denoising; multiresolution theory; orthogonal B-spline;
D O I
10.1016/j.phpro.2012.05.137
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
We apply new multiresolution theory based on orthogonal spline to image denoising. Just like spline interpolation, the new theory can well approximate any function. It also integrates symmetry, therefore there is no loss or getting and no phase derivation when one reconstruct signal after decomposition. The new method is applied to image denoising via soft-thresholding. Comparing with commonly used wavelets, the new method can well separate noise and image and shows potential application in improving vision quality and preserving edge information for denoised image. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of ICMPBE International Committee.
引用
收藏
页码:798 / 803
页数:6
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