基于多幅图像统计信息的降噪算法  

Algorithm of Reducing Noise Based on Statistical Information of Multi-image

作　　者：赵春燕[1] 郑永果[1] 苏蕊[2] 

机构地区：[1]山东科技大学,山东泰安271019 [2]济宁医学院信息科学技术系,山东济宁272013

出　　处：《系统仿真学报》2006年第z1期383-384,共2页Journal of System Simulation

基　　金：山东省自然科学基金(Y2002G07)

摘　　要：讨论了基于多幅图像各象素的统计信息进行降噪的算法,在算法过程中,利用对同一景物采集的多幅图像,统计其各象素的不同的灰度值出现的次数,把得到的大概率值作为真实的灰度值,实现对图像的降噪处理。该算法处理后的图像噪声大大降低,轮廓更加清晰,并且能较好的保留原图像的细节。The algorithm of reducing the noise based on the statistical information of the multi-image was discussed. On the course of the algorithm, the multi-image to the one scene was used to count the values of gray level of each pixel; the greater probability was the true value of gray level, so the image was reduced noise. The noise of the image which was dealt with by this algorithm should reduce much, figure of the image should be more clarity, and the details of the primary image could be reserved well.

关 键 词：降噪 叠加处理 灰度值 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]