| 基于小波变换的图像降噪 |
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| 引用本文： | 崔夏荣.基于小波变换的图像降噪[J].南平师专学报,2006,25(4):67-70. |
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| 作者姓名： | 崔夏荣 |
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| 作者单位： | 南平师范高等专科学校,电子工程系,福建,武夷山,354300 |
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| 基金项目： | 南平师专科研基金资助项目(XQL05012)。 |
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| 摘 要： | 根据小波变换和噪声信号的能量分布特性,提出了一种先用小波变换对含噪图像进行多尺度分解,求出各尺度小波变换高频系数的噪声方差和阈值,利用各尺度的阈值对高频系数进行处理,然后利用小波变换系数重构图像,实现图像降噪的方法;实验结果说明该方法可以有效地降低噪声,又可以较好地保持图像细节。
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| 关 键 词： | 小波变换 阈值 图像降噪 |
| 文章编号： | 1008-5963(2006)04-0067-04 |
| 收稿时间： | 09 8 2006 12:00AM |
| 修稿时间： | 2006年9月8日 |
Image Noise Reduction Based on Wavelet Transform |
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| CUI Xiarong.Image Noise Reduction Based on Wavelet Transform[J].Journal of Nanping Teachers College,2006,25(4):67-70. |
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| Authors: | CUI Xiarong |
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| Institution: | Electronic Engineering Departmem of Nanping Teachers College, Wuyishan 354300, China |
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| Abstract: | According to the characteristic of energy distribution of wavelet transform and noise, a method of image noise reduction is proposed. Firstly, noised image is decomposed by wavelet transform with more scale. Secondly, the square marginof noise and threshold in high frequency coefficients of wavelet transform withdifferent scale are figured out. And the coefficients are dealt with differentthreshold. Finally, reconstructed image can be obtained by using inverse wavelettransform for all coefficients. Experimental results prove that by using thismethod, image noise can be reduced effectively and image details can be preserved a lot. |
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| Keywords: | wavelet transform threshold image denoising |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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