井下图像增强的一种方法  

A Method to Enhance the Underground Image

作　　者：李文峰[1] 姜敏霞[1] 徐克强 陆军[3] 

机构地区：[1]西安科技大学通信学院 [2]西安终南信息有限公司 [3]石家庄理工职业学院

出　　处：《现代矿业》2012年第1期42-44,49,共4页Modern Mining

基　　金：国家科技部2009年度科技型中小企业技术创新基金(09C26226115674);2010年西安市科技创新支撑计划(CY100850);陕西省教育厅自然科学专项(08JK354)

摘　　要：针对地下矿山井下光照不均匀,基于S3C6410现场信息记录仪在图像采集传输过程中混入大量的噪声,图像画面模糊不清晰,对比度较小。分析了该系统采集端的噪声来源,基于Donoho提出的小波阈值去噪理论,比较了几种典型的小波阈值去噪方法,获取峰值信噪比的去噪效果,提出了将自适应阈值去噪和直方图修正相结合的图像增强方法。该方法具有良好的去噪性能,并且在去除CCD摄像头读出噪声的同时,改善了图像的质量。Aiming at underground mine light uneven,much noise was interfused in S3C6410 field information recorder during collection and transmission of image,the picture was fuzzy and contrast ratio was low.Noise source of this system collection port was analyzed,several classical wavelet threshold de-noising method were compared based on wavelet threshold de-noising theory proposed by Donoho,de-noising effect of peak signal noise ratio was obtained,image enhance method of adaptive wavelet threshold de-noising and histogram modification combination was proposed.The performance was good and the image quality was improved with noise removing from CCD camera.

关 键 词：井下图像 噪声检测 去噪 对比度 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]