急!!帮我翻译成英文,谢谢~

来源:百度知道 编辑:UC知道 时间:2024/05/23 22:49:28
随着时代的发展,人们对于图像的画质要求也在不断提高,于是图像处理就提到了研究的日程上来。小波变换因其自身所具有的诸多优良特性,越来越多地被应用于图像去噪领域。其中,小波阈值去噪算法因为原理及实现简单,应用性能良好,近年来受到了国内外学者的广泛关注。本文讨论基于小波变换的图像去噪方法和实现过程。同时也与中值滤波和算术平均值滤波进行比较。实验仿真表明了小波阈值去噪与滤波去噪的不同之处。

With the development of the times, people request for the image quality has been improved, image processing was mentioned in the study on the agenda. Wavelet transform itself with its many fine features, are increasingly being used in the field of image denoising. Among them, the wavelet threshold denoising algorithm as the principle and the realization of simple, good application performance, in recent years has been widespread concern of scholars home and abroad. This article discusses the image based on wavelet transform and the realization of the process of de-noising method. At the same time, with the median filter and compare the arithmetic mean filter. Simulation experiments show that the wavelet thresholding de-noising and filtering the difference between de-noising.

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Along with time development, the people unceasingly are also enhancing regarding the image picture nature request, therefore the imagery processing mentioned the research