摘要
图像是生活中重要的信息来源,处理图像有助于理解信息的基本信息.但图像本身可能存在一些被干扰的信息或者噪声.研究了基于高斯滤波和双边滤波算法的数字图像处理技术用于对图像的噪声进行消除.通过对图像进行理论模拟和实际图像处理,对两种算法进行比较和模拟得出相应结论.为今后的噪声消除方法的选择和实际工作的改进提供数据参考和依据.
Images are important sources of information in life. Image processing is helpful to understand the basic information of information. However, the image itself may have some other information or noise effects. This paper studies the basic principles of Gaussian filtering and bilateral filtering for noise cancellation, and conducts practical analysis. The article compares and simulates two common noise cancellation methods. It provides data reference and basis for the selection of noise elimination methods and the improvement of practical work in the future.
作者
潘梁静
PAN Liangjing(Shangqiu polytechnic,Shangqiu 476100,China)
出处
《商丘职业技术学院学报》
2020年第1期70-73,共4页
JOURNAL OF SHANGQIU POLYTECHNIC
基金
2018年度河南省科技攻关项目“基于视频图像处理的交通流量数据采集和检测技术研究”(182102410064)。
关键词
图像去噪
高斯算法
双边算法
Image De-noising
Gaussian Algorithm
Bilateral Algorithm
