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基于二维双树复数小波变换的图像去噪
引用本文:周鹏,宋宇,孟晋,张志芳.基于二维双树复数小波变换的图像去噪[J].中国西部科技,2008,7(6):36-37.
作者姓名:周鹏  宋宇  孟晋  张志芳
作者单位:长春工业大学计算机科学与工程学院,吉林长春,130012
摘    要:目前小波变换在图像去噪中的应用取得了较好的效果。而二维双树复数小波变换由于其在平移不变性,方向性等方面的优势,要比可分离二维离散小波变换具有更好的图像去噪能力。因此我们提出采用二维双树复数小波变换进行图像去噪,仿真试验结果表明二维双树复数小波变换的去噪效果明显改善。

关 键 词:二维双树复数小波变换  可分离二维离散小波变换  图像去噪
修稿时间:2008年1月31日

Image Denoising based on 2D Dual-Tree Complex Wavelet Transform
ZHOU Peng,SONG Yu,MENG Jin,ZHANG Zhi-fang.Image Denoising based on 2D Dual-Tree Complex Wavelet Transform[J].Science and Technology of West China,2008,7(6):36-37.
Authors:ZHOU Peng  SONG Yu  MENG Jin  ZHANG Zhi-fang
Institution:ZHOU Peng, SONG Yu, MENG Jin, ZHANG Zhi- fang (Chang Chun University of Technology School of Computer Science & Engineering, Chang Chun 130012)
Abstract:At present the wavelet transform has obtained good effect in the application of image denoising. Because 2D Dual-Tree Complex Wavelet Transform has improved directionality and reduced shift sensitivity, so it has the better image denoising ability than the separable 2D DWT. Therefore we propose to use the 2D Dual-Tree Complex Wavelet Transform to carry on the image denoising,and the simulation result indicates that the 2D Dual-Tree Complex Wavelet Transform gives better denoising quality.
Keywords:2D Dual-Tree Complex Wavelet Transform  separable 2D DWT  Image Denoising
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