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Question

数字图像处理技术飞速发展，广泛应用于天文，医学，工业等多个领域， 图像去噪是图像处理的常用技术。经典的图像降噪方法从本质上说，是低通滤波的方法，但这种方法在有效出去噪声的同时，也会是图像的边缘信息模糊，而小波变换由于具有良好的时频分析特性，为信号的去噪提供了强有力的工具，克服了传统方法处理非平稳信号是存在的局限性。
论文首先介绍了数字图像处理的一些基本概念，然后阐述了小波变换的一些重要理论知识，最后阐述小波变换在图像降噪处理方面的应用，并对结果进行分析和说明。

Answer 1

Digital image processing technology are rapidly developing, widely used in astronomy, medicine, industry, and other fields, image de-noising is a common image processing technology. The classic image noise reduction methods from nature, is a low pass filter approach, but this approach in the effective noise out at the same time, will also be information on the verge of fuzzy images, and the wavelet transform as a good time-frequency analysis features, For the signal denoising provided a powerful tool to overcome the traditional method of dealing with non-stationary signals is the existence of limitations.
First of all papers on digital image processing of some basic concepts, and then on the wavelet transform some of the important theory of knowledge, the last on wavelet transform the image noise reduction processing the application, and the results for analysis and description.
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感谢您为 Google 翻译提供翻译建议。我们会利用您的建议在将来更新我们的系统时提高翻译质量。 Digital image processing technology are rapidly developing, widely used in astronomy, medicine, industry, and other fields, image de-noising is a common image processing technology. The classic image noise reduction methods from nature, is a low pass filter approach, but this approach in the effective noise out at the same time, will also be information on the verge of fuzzy images, and the wavelet transform as a good time-frequency analysis features, For the signal denoising provided a powerful tool to overcome the traditional method of dealing with non-stationary signals is the existence of limitations. <br> First of all papers on digital image processing of some basic concepts, and then on the wavelet transform some of the important theory of knowledge, the last on wavelet transform the image noise reduction processing the application, and the results for analysis and description.

Answer 2

Digital image processing technology are rapidly developing, widely used in astronomy, medicine, industry, and other fields, image de-noising is a common image processing technology. The classic image noise reduction methods from nature, is a low pass filter approach, but this approach in the effective noise out at the same time, will also be information on the verge of fuzzy images, and the wavelet transform as a good time-frequency analysis features, For the signal denoising provided a powerful tool to overcome the traditional method of dealing with non-stationary signals is the existence of limitations.
First of all papers on digital image processing of some basic concepts, and then on the wavelet transform some of the important theory of knowledge, the last on wavelet transform the image noise reduction processing the application, and the results for analysis and description.