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基于SVM分类与回归的图像去噪方法
引用本文:马宁,潘晨,曹宁.基于SVM分类与回归的图像去噪方法[J].兰州理工大学学报,2009,35(1).
作者姓名:马宁  潘晨  曹宁
作者单位:1. 宁夏气象信息中心,宁夏,银川,750021
2. 宁夏大学,数学计算机学院,宁夏,银川,750021
3. 宁夏气象防灾减灾重点实验室,宁夏,银川,750021
基金项目:国家自然科学基金,宁夏自然科学基金 
摘    要:提出一种基于SVM分类与回归技术的图像去噪方法,即:去噪过程先利用SVM分类器将含噪图像中的像素分为噪声或非噪声点;接着,非噪声点像素值被保留,而噪声点像素值则通过SVM进行回归估计,从而达到去噪的目的.针对椒盐和高斯噪声在MATLAB6.5环境下搭建实验平台,运用OSU_SVM3.0和LS_SVM 工具箱分别建立4邻域、8邻域和24邻域3种分类和回归模型.去噪实验证明,与已有的算法比较,该方法能达到较高的峰值信噪比,具有很好的去噪效果.

关 键 词:SVM分类  LS-SVM回归  图像去噪

Image denoising method by using SVM-based classification and regression
MA Ning,PAN Chen,CAO Ning.Image denoising method by using SVM-based classification and regression[J].Journal of Lanzhou University of Technology,2009,35(1).
Authors:MA Ning  PAN Chen  CAO Ning
Affiliation:1.Ningxia Meteorological Information Center;Yinchuan 750021;China;2.School of Mathematics and Computer Science;Ningxia University;3.Ningxia Key Laboratory of Meteorological Disaster Prevention and Mitigation;China
Abstract:An image denoising method was hence presented by using SVM-based classification and regression technique.Firstly,the pixels in a noised image were divided into noise and non-noise pixels by using SVM classifier.Then the non-noise pixels were retained,and the noise pixels were one by one estimated with SVM regression model,so that the denoising was completed.An experimental platform was constructured in the environment of MATLAB6.5 for Salt & Pepper and Gaussian noises,and three classifications and regressio...
Keywords:SVM classification  LS-SVM regression  image denoising  
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