基于偏微分方程的图像去噪处理方法  

Image Denoising Processing Method Based on Partial Differential Equation

作　　者：陈亚楠 CHEN Yanan(School of Computer Engineering,Shangqiu University,Shangqiu Henan 476000,China)

机构地区：[1]商丘学院计算机工程学院,河南商丘476000

出　　处：《信息与电脑》2021年第10期22-23,共2页Information & Computer

摘　　要：现有的图像去噪处理方法在实际应用中,去噪后图像的峰值信噪比较高,为此提出基于偏微分方程的图像去噪处理方法。利用偏微分方程对图像边缘进行处理,降低图像边缘的信噪比,再利用主成分分析算法对图像进行降维处理,将图像不同子带进行分块管理,实现对图像局部去噪处理,以此实现基于偏微分方程的图像去噪处理。经实验验证,应用设计方法图像的峰值信噪比远远低于传统方法。Existing image denoising processing methods are in practical applications,and the peak signal-to-noise ratio of the image after denoising is high.For this reason,an image denoising processing method based on partial differential equation is proposed.Use partial differential equations to process the edge of the image to reduce the signal-to-noise ratio of the image edge,and then use the principal component analysis algorithm to reduce the dimensionality of the image,and manage the different subbands of the image in blocks to achieve local denoising of the image.This realization is based on the image denoising processing of partial differential equations.Experiments have proved that the peak signal-to-noise ratio of the image using the design method is far lower than that of the traditional method.

关 键 词：偏微分方程 图像去噪 降维处理 

分 类 号：TN911.73[电子电信—通信与信息系统]