西北师范大学学报（自然科学版）Issue(4)：45-47,52,4.
保留边缘信息和特定目标的高密脉冲噪声滤波算法
An algorithm for impulse noise with high density preserving edge information and special objects
摘要
Abstract
Aiming at many problems such as edge information being badly lost and special object being over-processed for impulse noise , a denoising algorithm to maintain edge and object is proposed in this paper . Firstly , both every contaminated pixel and the contamination circumstance in its neighborhood can be obtained by the characteristic of impulse noise . Secondly , by means of details judgment and window optimization , some filtering methods are used to reduce the noise density and obtain genuine grey information . Finally , the special object detection and the double-window edge judgment are added to get the denoised image . Experiment show that the proposed method can obtain satisfactory result with a smaller RMSE (root of mean square error ) and a bigger EPI (edge preserved index ) ,furthermore , more information can be preserved for special object in the image with impulse noise .关键词
脉冲噪声/滤波/均方误差根/边缘保留指数Key words
impulse noise/filtering/RMSE/EPI分类
信息技术与安全科学引用本文复制引用
赵伟舟,王惠珍,屈娜..保留边缘信息和特定目标的高密脉冲噪声滤波算法[J].西北师范大学学报（自然科学版）,2014,(4):45-47,52,4.基金项目
第二炮兵工程大学军管文资助项目 （）
