英语翻译一幅图像在获取和传输等过程中,会受到各种各样噪声的干扰.这些噪声干扰使图像退化,质量下降,表现为图像模糊,特征淹

英语翻译
一幅图像在获取和传输等过程中,会受到各种各样噪声的干扰.这些噪声干扰使图像退化,质量下降,表现为图像模糊,特征淹没,对图像分析不利.图像平滑就是为了去除图像中的噪声.小波变换在图像去噪中得到了广泛的应用,与传统的去噪方法相比小波分析有着很大的优势,它能在去噪的同时保留图像细节,得到原图像的最佳恢复.
本文概述了数字图像平滑处理的发展现状和趋势和小波变换法的历史和发展以及小波变换在图像中的应用,在了解数字图像平滑原理、方法,小波变换理论的基础上,研究了基于小波变换的数字图像平滑处理,分析了小波变换法对平滑的优点和小波变换法图像平滑的几种算法,并提出基于小波变换的改进算法,对小波阈值法、中值滤波与小波变换的结合方法和小波域维纳滤波方法分别进行Matlab仿真实验以及结果分析.得出比较理想的结果,证明了算法的有效性和可行性.
最后,对小波变换法在数字图像平滑处理中的应用做了总结,指出需要改进的地方.

An image in the access and transmission in the process,can be various kinds of noise interference.The noise interference makes the image degradation,the decline in the quality,performance for image fuzzy,covered characteristics of image analysis is adverse.In the image smooth is to remove the noise of the image.Wavelet transform in the image denoising performance of a wide range of applications,and the traditional denoising method than the wavelet analysis has a lot of advantages,it can in the denoising while retaining image details,get the best restore the original image.
This paper summarizes the digital image smooth processing situation and the developing trend of wavelet transform method and the history and development of wavelet transform in the application of image,in the image smooth know digital principle,method,wavelet transform,and on the basis of the research based on the wavelet transform of the digital image smooth processing,analysis of wavelet transform method to the advantages of the smooth and wavelet transform method the image smooth algorithms,and based on the wavelet transform of the improved algorithm of wavelet threshold value method,median filtering and wavelet transform method and the combination of the wavelet domain wiener filter Matlab simulation experiment method,respectively,and the result analysis.That ideal results show that the algorithm is effective and feasible.
Finally,the wavelet transform method in digital image smooth processing the application is summarized,and to identify areas in need of improvement.