一种递进的脉冲噪声检测算法

来源 :第十一届和谐人机环境联合会议 | 被引量 : 0次 | 上传用户：yangzi_job

【摘要】

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【作者】

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孙劲光黄旭

【机构】

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辽宁工程技术大学电子与信息工程学院,葫芦岛125000;辽宁省数字化矿山装备工程技术研究中心,阜新123000

【出处】

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第十一届和谐人机环境联合会议

【发表日期】

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2015年7期

【关键词】

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图像处理脉冲噪声检测算法精准度

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论文部分内容阅读

本文对现行开关滤波算法在脉冲噪声检测时间、检测精准度和恢复策略上存在的问题进行理论分析,提出一种递进的脉冲噪声检测算法(PIND),使噪声图像能够获得更好的恢复效果.首先,确定脉冲噪声与真实像素之间的灰度值界线b1和b2,根据这个界线区分出疑似点和真实点;然后,将噪声点从疑似点中寻找出来并判断噪声类型,存储在决策表G中;最后,根据决策表G中存储的噪声类型信息采用三种不同的恢复策略滤除噪声.对lena等图像增加不同密度和尺度的噪声进行对比实验,数据表明,本文算法的脉冲噪声检测时间比现行两种经典算法提高1～20倍;检测精准度可以达到99％以上;恢复图像也具有更好的视觉效果和1～2dB的峰值信噪比(PSNR)提升.

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一种递进的脉冲噪声检测算法

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