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基于小波变换和脊波变换的自适应图像去噪算法
引用本文:李根强,黄永东,蒋 肖.基于小波变换和脊波变换的自适应图像去噪算法[J].计算机应用研究,2012,29(8):3192-3194.
作者姓名:李根强  黄永东  蒋 肖
作者单位:北方民族大学信息与计算科学学院,银川,750021
基金项目:国家自然科学基金资助项目(10961001, 61102008)
摘    要:为了克服单纯小波变换或脊波变换的不足,提出了基于小波变换和脊波变换的自适应去噪算法。实验结果表明,在处理点奇异性和线奇异性的图像时,该方法比单纯小波变换或脊波变换的阈值去噪算法更具优越性,在实际应用中更为有效。

关 键 词:脊波变换  小波变换  Radon变换  阈值函数  图像去噪

Adaptive image denoising method based on wavelet transform and ridgelet transform
LI Gen-qiang,HUANG Yong-dong,JIANG Xiao.Adaptive image denoising method based on wavelet transform and ridgelet transform[J].Application Research of Computers,2012,29(8):3192-3194.
Authors:LI Gen-qiang  HUANG Yong-dong  JIANG Xiao
Affiliation:School of Information & Computing Science, Beifang University of Nationalities, Yinchuan 750021, China
Abstract:In order to overcome the shortages of the wavelet and ridgelet transform, this paper proposed an adaptive image denoising method based on wavelet transform and ridgelet transform. The experimental results show that, while processing point and line singularities in an image, this adaptive method has significantly superiority over the threshold denoising algorithm only based on the wavelet transform or ridgelet transform. This novel algorithm is more powerful in practice.
Keywords:ridgelet transform  wavelet transform  Radon transform  threshold function  image denoising
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