几种图像去噪算法研究

Several kinds algorithms of image denoising

图像是一种重要的信息源,通过图像处理可以帮助人们了解信息的内涵.数字图像噪声去除涉及光学系统、微电子技术、计算机科学、数学分析等领域.本文对常用的几种阈值去噪方法进行了分析比较和仿真实现,并且概述了小波阈值去噪的基本原理.最后结合理论分析和实验结果,讨论了一个完整去噪算法中影响去噪性能的各种因素.

Image is an important source of information,it can help people understand the connotation of the information through image processing. Digital image noise denoising involve in optical systems,microelectronics technology,computer science,mathematical analysis,etc. In this paper,the commonly used several threshold denoising methods has carried on the comparative analysis and simulation,and summarizes the basic principle of wavelet threshold denoising. Finally combined with theoretical analysis and experimental results,a complete denoising is discussed various factors influencing the performances of denoising algorithm.