计算机应用研究2012，Vol.29Issue(2)：761-763,3.DOI:10.3969/j.issn.1001-3695.2012.02.096
一种噪声密度检测自适应选择策略的滤波算法
Adaptive-selection filtering strategy algorithm on noise density detection
摘要
Abstract
This paper proposed an adaptive-selection filtering strategy algorithm on noise density detection for the filter problem that gray-scale was polluted by salt and pepper noise of different degree. Firstly, it detected the noise density of the polluted image,according to the detection results,the image was judged as either light polluted image or severe polluted image. For the former, it took 3×3 windows switching median filter algorithm based on statistical threshold. For the latter, it took first 3×3 last 5×5 windows switching median filter algorithm based on statistical threshold. Experimental results indicate that the proposed algorithm not only has strong adaptability but also has better image detail preservation and strong denoising ability.关键词
椒盐噪声/密度检测/统计域值/中值滤波/噪声检测Key words
salt and pepper noise/ density detection/ statistical threshold/ median filter/ noise detection分类
信息技术与安全科学引用本文复制引用
沈德海,刘大成,邢涛..一种噪声密度检测自适应选择策略的滤波算法[J].计算机应用研究,2012,29(2):761-763,3.基金项目
国家自然科学基金资助项目(70871067) （70871067）
辽宁省教育厅重点实验室基金资助项目(2008 S002) （2008 S002）
北京市科学技术研究院创新团队计划项目(IG201106N) （IG201106N）
