Research of Image Denoising Based on Support Vector Machine and Wavelet Coefficients

FENG Xin-yue; YANG Qiu-xiang; AN Yan-yan; FAN Jian-hua; YANG Jian

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Research of Image Denoising Based on Support Vector Machine and Wavelet Coefficients

更新时间：2026-09-04

- Research of Image Denoising Based on Support Vector Machine and Wavelet Coefficients
- Vol. 31, Issue 8, Pages: 119-122(2014)
- 作者机构：
  
  中北大学机构计算机与控制工程学院,山西,太原,030051
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
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冯欣悦, 杨秋翔, 安雁艳, 范建华, 杨剑. 基于SVM和小波系数的图像去噪算法研究[J]. 微电子学与计算机, 2014, 31(8): 119-122.

FENG Xin-yue, YANG Qiu-xiang, AN Yan-yan, et al. Research of Image Denoising Based on Support Vector Machine and Wavelet Coefficients[J]. 2014, 31(8): 119-122.
冯欣悦, 杨秋翔, 安雁艳, 范建华, 杨剑. 基于SVM和小波系数的图像去噪算法研究[J]. 微电子学与计算机, 2014, 31(8): 119-122. DOI：

FENG Xin-yue, YANG Qiu-xiang, AN Yan-yan, et al. Research of Image Denoising Based on Support Vector Machine and Wavelet Coefficients[J]. 2014, 31(8): 119-122. DOI：

摘要

结合小波系数的性质和SVM的优点

提出一种基于SVM和小波系数的图像去噪算法

选取特定的支持向量

输入到训练机中进行训练

然后得到最优的分类函数

最后用最优分类函数对含噪图像进行去噪处理.仿真结果表明

该方法具有很好的去噪效果

且能达到较高的峰值信噪比.

Abstract

In this paper

a wavelet-based image denoising using SVM the nature of the wavelet coefficients is proposed.Selecting a specific support vector machine

inputing it into training for training

then get the optimal classification function

and finally with the optimal classification function for noisy image denoising.Simulation results show that the method has a good denoising effect

can achieve higher peak signal to noise ratio.

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