计算机工程2011，Vol.37Issue(1)：224-225,228,3.DOI:10.3969/j.issn.1000-3428.2011.01.077
基于马尔科夫随机场的图像锐化方法
Image Sharpening Method Based on Markov Random Field
摘要
Abstract
When normal unsharp mask method algorithm is applied to sharpening enhancement, the obvious noises are also enhanced. Based on this question, a method of image sharpening approach is proposed which is founded on the Thin Plate prior energy theory of Markov random field.The method can improve edge meanwhile it can't enhance noise. The processing results of this method not only on the aspect of subjective visual effect but also on the aspect of objective evaluation are more satisfactory.关键词
马尔科夫随机场/图像锐化/先验能量函数Key words
Markov random field/ image sharpening/ prior energy function分类
信息技术与安全科学引用本文复制引用
刘芳,刘东升,桂志国..基于马尔科夫随机场的图像锐化方法[J].计算机工程,2011,37(1):224-225,228,3.基金项目
山西省自然科学基金资助项目(2009011020-2) （2009011020-2）
山西省高等学校科技开发基金资助项目(20081024) （20081024）
