计算机工程2011，Vol.37Issue(3)：213-214,217,3.DOI:10.3969/j.issn.1000-3428.2011.03.075
基于脉冲噪声检测与信号压缩的滤波算法
Filtering Algorithm Based on Impulse Noise Detection and Signal Compression
摘要
Abstract
Aiming at the problem that the ability of details protection is not well in traditional algorithms, this paper proposes a filtering algorithm based on impulse noise detection and signal compression. During noise detection, it sorts the pixel points in detection window, and the pixel points in the field of extreme value in the vicinity whose gray value fell within a certain range are judged to be noise points. During noise filtering, it extracts signal points and compresses these points so as to further exclude false detections. It chooses different filtering method according to different noise density, and does cyclic iteration until all impulse noise points are filtered. Experimental results show that the algorithm has a better ability of filtering impulse noise and protecting details, especially under the conditions of high-intensity noise, it has more obvious effect.关键词
脉冲噪声检测/信号压缩/迭代滤波Key words
impulse noise detection/ signal compression/ iterative filtering分类
信息技术与安全科学引用本文复制引用
张利平,张红英,吴斌..基于脉冲噪声检测与信号压缩的滤波算法[J].计算机工程,2011,37(3):213-214,217,3.基金项目
国家自然科学基金资助项目"数字图像自动修补理论与算法研究"(60802040) （60802040）
绵阳市科技计划基金资助项目"数字图像自动修补理论与应用研究"(08Y001-4) （08Y001-4）
