CAJ | 학술논문

为解决在运动模糊图像的处理中传统的逆滤波法算法对噪声很敏感且易产生噪声放大的问题，采用维纳滤波算法和投影迭代算法对生产线上模糊图像的处理进行分析和比较。在VC＋＋2008上仿真结果表明：这2种算法都能克服逆滤波算法放大高频段噪声的不足；投影迭代算法在恢复模糊图像所用时间和清晰度方面比维纳滤波算法好。
위해결재운동모호도상적처리중전통적역려파법산법대조성흔민감차역산생조성방대적문제，채용유납려파산법화투영질대산법대생산선상모호도상적처리진행분석화비교。재VC＋＋2008상방진결과표명：저2충산법도능극복역려파산법방대고빈단조성적불족；투영질대산법재회복모호도상소용시간화청석도방면비유납려파산법호。
Due to being very sensitive to noise , easy to produce noise amplification effect for traditional inverse filter method algo-rithm for motion blurred images, this paper uses classic Wiener filtering and projection algorithm , analyzing two algorithms’ difference. Two algorithms are used to conduct the simulation of the electronic components of the production line of the motion blur image in VC++2008 environment .Experimental results show that these two algorithms overcome the lack of inverse filtering algorithm , which magnifies the high frequency noise while projection algorithm is better than wiener filtering algorithm in time and clarity .