计算机应用与软件2013，Vol.30Issue(8)：62-64,3.DOI:10.3969/j.issn.1000-386x.2013.08.017
基于残差分析的自适应曲线拟合滤波算法
ADAPTIVE FILTERING ALGORITHM USING CURVE FITTING BASED ON RESIDUAL ANALYSIS
摘要
Abstract
Aiming at the accurate detection and removal of salt and pepper noise in single image,we present the residual analysis-based adaptive filtering algorithm using curve fitting.First,the algorithm detects the noise points in conjunction with the means of employing point neighbourhood as the differentiation region.Secondly,it adaptively selects the direction with minimum residual as the direction of full signal point,uses curve fitting to determine the grey value at the noise point.After that,it carries out multi-direction template expansion processing on the noise images with higher density,and achieves effective recovery of the contaminated data points.Experimental result shows that this method has stronger ability in detail protection and noise point removal.关键词
曲线拟合/残差分析/自适应/噪声检测Key words
Curve fitting / Residual analysis / Adaptive / Noise detection分类
信息技术与安全科学引用本文复制引用
董蕊,王志巍,刘淑娟,张有会..基于残差分析的自适应曲线拟合滤波算法[J].计算机应用与软件,2013,30(8):62-64,3.基金项目
国家自然科学基金项目(10771049). （10771049）
