计算机应用与软件Issue(2)：210-213,4.DOI:10.3969/j.issn.1000-386x.2014.02.057
多尺度形态学的图像非线性锐化算法
NON-LINEAR IMAGE SHARPENING ALGORITHM USING MULTI-SCALE MORPHOLOGY
摘要
Abstract
When traditional unsharp masking enhances the high-frequency component of the image,it is easy to suffer from artifact,and is very sensitive to noise as well.For these problems,we propose a non-linear image sharpening algorithm which is based on multi-scale morphology.Utilising unique advantage of morphology in feature extraction,it extends the conventional unsharp masking principle to morphological field.This algorithm employs multi-scale morphology to extract the detailed features of the image,and controls the contribution of the detailed features in multi-scale on output image according to gradient information;meanwhile,it expands the contrast between the foreground and the background,and highlights the hidden information.Experimental results demonstrate that this algorithm well enhances the information of the image,and suppresses the addition of noise at the same time.Moreover,the enhanced image has quite good visual effect.关键词
图像增强/多尺度形态学/反锐化掩膜Key words
Image enhancement/Multi-scale morphology/Unsharp masking分类
信息技术与安全科学引用本文复制引用
刘艳莉,桂志国..多尺度形态学的图像非线性锐化算法[J].计算机应用与软件,2014,(2):210-213,4.基金项目
国家自然科学基金项目（61071192，61271357）；山西省自然科学基金项目（2009011020-2）；山西省高等学校优秀青年学术带头人支持计划项目；山西省研究生优秀创新项目（2012098）。 （）
