摘要
为解决图像模糊和退化问题,从图像形成的基本原理入手,针对不同类型的图像退化因素,分析了退化原因,对分析结果做逆运算,完成图像复原。采用逆滤波算法、Lucy Richardson滤波算法及维纳滤波算法,结合MATLAB图形处理软件,搭建图像复原的基本框架,实现对目标图像的复原。仿真结果表明,图像处理的迭代次数并不是越多越好,需结合不同要求确定迭代次数,以获得符合预期的图像效果,达到改善视觉效果的作用。
In order to solve the problem of image blurring and degradation,starting from the basic principle of image formation,the study analyzes the causes of degradation,performs inverse operation on analysis results,and completes image restoration according to the image degradation factors of different types.The study adopts inverse filter algorithm,Lucy Richardson filter algorithm and Wiener filter algorithm,combines with MATLAB graphics processing software,establishes basic framework of image restoration to achieve the restoration of the target image.The simulation results show that the number of iterations of image processing is not the more the better.It is necessary to determine the number of image iterations in combination with different requirements to achieve the desired image effect,and improve visual effect.
作者
金飞
Jin Fei(School of Science,Shandong Jiaotong University,Jinan 250357,China)
出处
《黑龙江科学》
2023年第6期139-141,共3页
Heilongjiang Science
