摘要
在医学图像处理、遥感图像处理、图像修复等图像处理中,总希望能得到清晰的图像,从而更准确的理解对象的特征。但在实际过程中由于环境和系统本身的缺陷,通常捕获到的图像总是和受到不同程度噪声污染,因此如何去除图像中的污染噪声就成了图像预处理中的重要步骤[1]。本文以Matlab语言为基础用各种方法对图像进行去噪处理,并且对于处理结果进行比较、分析,从而得出各自的特点以备在图像处理中可以方便的选择。
We always wish reading clear image from image processing,such as in the fields of Image restoration,remote sensing image processing and medical image,As all important aspect of image restoration so that getting the model identification.But in the actual process images are captured and always subject to different degrees of noise pollution due to the defects of the environment and the system itself.So how to remove the pollution of noise in an image is an important step of image pre-processing.This paper is based on Matlab language to denoise the image with different methods,and the results were compared,analysed and points out their respective characteristics so that can be applied conveniently for image processing.
出处
《电子设计工程》
2014年第19期167-168,172,共3页
Electronic Design Engineering
基金
陕西省教育厅应用研究项目(12JK1004)
延安市工业攻关项目(2012kg-07)
