图像中的噪声及其复原方法的比较研究  

Comparison of image noise and recovery methods

作　　者：司洋[1] 

机构地区：[1]中北大学信息探测与处理技术研究所,山西太原030051

出　　处：《电子测试》2012年第3期37-41,共5页Electronic Test

摘　　要：图像降噪作为图像预处理的必要步骤,在图像处理中有着重要的意义。由于在获取图像的过程中,成像系统受到各种因素的影响,会导致图像质量的降低,图像复原技术就是趋向于将退化模型化并用相反的处理来恢复原图像。本文针对引起图像质量退化的噪声因素进行了分析研究,并对采集图像中常见的高斯白噪声和椒盐噪声进行了降噪研究。本文重点运用图像降噪方法中的中值滤波算法和小波阈值降噪方法进行了仿真实验,并分别利用这两种算法对同一幅噪声图像降噪进行效果比较并得到结论。In the process of obtaining images, there are various factors influencing imaging system leading the image quality lower, so image restoration technology is the model tending to be degradation of the handling and using for contrary to restore the original image. In this paper, we focus on the noise factors of the image quality degradation and study on reduction of image acquisition in common Gaussian white noise and a Salt and Pepper Noise.We experiments in the ways of image noise reduction filtering algorithms and wavelet threshold of noise reduction methods for simulation, and they compared with the double methods of noise reduction in one picture. Finally, we come to the conclusion.

关 键 词：图像复原 中值滤波 小波降噪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]