[1]白青,王军锋,王涛,等.一种改进的小波阈值图像去噪综合模型[J].计算机技术与发展,2013,(05):50-53.
 BAI Qing,WANG Jun-feng,WANG Tao,et al.An Improved Comprehensive Model of Wavelet Threshold for Image Denoising[J].,2013,(05):50-53.
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一种改进的小波阈值图像去噪综合模型()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年05期
页码:
50-53
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Improved Comprehensive Model of Wavelet Threshold for Image Denoising
文章编号:
1673-629X(2013)05-0050-04
作者:
白青王军锋王涛张伟
西安理工大学 理学院
Author(s):
BAI QingWANG Jun-fengWANG TaoZHANG Wei
关键词:
图像去噪小波系数阈值函数
Keywords:
image denoisingwavelet coefficientsthreshold function
文献标志码:
A
摘要:
针对软、硬阈值函数去噪时存在过分平滑、边缘振荡和有恒定偏差的缺陷,在经典的小波软、硬阈值去噪方法的基础上,提出了一种新的小波阈值去噪的综合模型.新的阈值函数表达式简单且易于计算,通过调整控制系数,新阈值函数在图像去噪中不仅继承了传统软、硬阈值函数去噪的优越性,而且保留了更多的图像细节信息.实验结果表明,该方法无论在视觉效果上还是在峰值信噪比和均方误差定量指标上均取得了较好的去噪效果,充分体现出小波阈值图像去噪的优越性
Abstract:
For soft and hard threshold function denoising,there exist excessive smoothness,edge oscillation and constant deviation defects. Thus propose a new wavelet threshold denoising comprehensive model based on classical wavelet soft and hard threshold denoising meth-od. Its expression is simple and calculation is easy. By adjusting the control coefficient,the new threshold function not only inherits the su-periority of traditional soft and hard threshold functions,but also retains more image details. In terms of visual effects,quantitative indica-tors of PSNR and MSE,the comparative results show that the method has achieved better denoising effects. This fully reflects the superior-ity of the wavelet threshold for image denoising

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更新日期/Last Update: 1900-01-01