| 小波阈值法在图像去噪领域的应用研究 |
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| 引用本文： | 许立腾.小波阈值法在图像去噪领域的应用研究[J].科学技术与工程,2009,9(22). |
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| 作者姓名： | 许立腾 |
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| 作者单位： | 华南理工大学,电子与信息学院,广州,510640 |
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| 基金项目： | 广东省产学研项目，广东省科技计划项目，2007B010400063) |
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| 摘 要： | 小波阈值法在图像去噪领域已经成为热门的研究方向,为了使人们能对小波阈值法有概括性的了解.在对小波阈值法现有技术的优缺点进行分析的前提下,总结出小波阈值法在图像去噪领域的三个主要研究方向,即阈值选择的自适应性,小波系数的分布模型,以及防止Gibbs振荡,并探讨了小波阈值法在图像去噪领域的发展方向.
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| 关 键 词： | 小波阈值 图像去噪 自适应 系数模型 Gibbs振荡 |
| 收稿时间： | 8/11/2009 5:01:48 PM |
| 修稿时间： | 8/21/2009 3:55:34 PM |
A research on Wavelet Thresholding Method for Image Denoising |
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| xuliteng.A research on Wavelet Thresholding Method for Image Denoising[J].Science Technology and Engineering,2009,9(22). |
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| Authors: | xuliteng |
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| Abstract: | The method of wavelet thresholding for image denoising has been a hot issue in image processing. In order to provide people a summary knowledge of wavelet thresholding method, based on the analyzing the advantages and disadvantages of existing technology of wavelet thresholding for image denoising, this paper summarize three research directions of the method of wavelet thresholding in image denoising field, that is the adaptation of selecting thresholding, the building model of wavelet coefficients, and the solution of the Gibbs phenomenon. And this paper discusses the future trend of the method of wavelet thresholding in image denoising field. |
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| Keywords: | wavelet thresholding image denoising adaptive coefficients model Gibbs phenomenon |
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