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一种基于领域阈值的小波图像去噪算法
引用本文:范建坤.一种基于领域阈值的小波图像去噪算法[J].网络安全技术与应用,2013(7):103-104.
作者姓名:范建坤
作者单位:安顺学院计算机与网络管理中心 贵州561000
摘    要:为了去除图像中的噪声,文章利用图像分块的思想,结合阈值去噪法和最小均方误差估计(MMSE),给出了一种基于领域阈值的小波域图像去噪算法。该算法与经典的子带自适应阈值去噪法BayesShrink算法相比,本文算法在峰值信噪比和视觉效果上都好于BayesShrink算法。

关 键 词:小波变换  领域  阈值去噪法  图像去噪

A Wavelet Image Denoising Algorithm Based on Domain Threshold
FAN Jiankun.A Wavelet Image Denoising Algorithm Based on Domain Threshold[J].Net Security Technologies and Application,2013(7):103-104.
Authors:FAN Jiankun
Affiliation:FAN Jiankun(Computer and Network Management Center,Anshan University,Guizhou 561000)
Abstract:In order to remove noise in the image,in this paper,a wavelet image denoising algorithm based on domain threshold is proposed,which by exploiting the idea of image piecemealed,and combining the threshold denoising method with the minimum mean squared error.This algorithm compared with classical sub-band adaptive algorithms BayesShrink algorithm,it has better effect in peak signal to noise ratio and visual quality.
Keywords:wavelet transform  domain  threshold denoising method  image denoising
本文献已被 CNKI 维普 万方数据 等数据库收录!
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