| 基于小波去噪的T-ray图像复原 |
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| 引用本文： | 吴伟,毕岗.基于小波去噪的T-ray图像复原[J].红外与激光工程,2005,34(5):592-596. |
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| 作者姓名： | 吴伟 毕岗 |
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| 作者单位： | 浙江大学,信息学院,信息与电子工程学系,浙江,杭州,310027;浙江大学,城市学院,信息与电子工程系,浙江,杭州,310015 |
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| 摘 要： | 针对实时THz脉冲（T-ray）成像系统所成图像分辨率低、受l/f相关噪声干扰严重的特点，提出一种新的基于小波去噪的T—ray图像复原算法。对T-ray图像进行离散小波变换后，先利用广义交叉确认估计出各个分辨率层的噪声闽值，然后对每个分辨率层的高频子带进行迭代去噪，最后对去噪后的T-ray图像采用Jasson-Van-Cittert算法进行复原处理以提高分辨率。实验结果表明，该方法在提高T-ray图像分辨率的同时，能显著地抑制THz成像系统的l/f相关噪声。创新之处在于以广义交叉确认作为T-ray图像中l/f噪声的估计方法，大幅度提高了图像信噪比（-5dB），避免了噪声带来的复原算法中的不适定问题，达到较好的图像复原效果。
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| 关 键 词： | T-ray图像 小波去噪 1/f噪声 广义交叉确认 图像复原 |
| 文章编号： | 1007-2276(2005)05-0592-05 |
| 收稿时间： | 2005-02-02 |
| 修稿时间： | 2005-03-20 |
Image restoration in T-ray imaging based on wavelet de-noising |
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| WU Wei,BI Gang.Image restoration in T-ray imaging based on wavelet de-noising[J].Infrared and Laser Engineering,2005,34(5):592-596. |
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| Authors: | WU Wei BI Gang |
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| Affiliation: | 1.Department of Information Science and Electronic Engineering, Zhejiang University 2. City College of Information Science and Electronic Engineeing, Zhejiang University, Hangzhou 310027, China; Hangzhou 310015, China |
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| Abstract: | In order to improve the spatial resolution and reduce 1/f noise of real-time THz pulses(T-ray) imaging system,a new method based on wavelet de-nosing and Jasson-Van-Cittert(JVC) image restoration algorithm was presented.After making wavelet transform to a T-ray image,generalized cross validation(GCV) was used to estimate the optimal threshold and de-noising was done in the high frequency sub-bands respectively.The JVC image restoration algorithm was applied to the de-noised T-ray image for resolution improving.Experimental results show that this method can suppress 1/f noise successfully and improve the resolution of T-ray image significantly. |
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| Keywords: | T-ray imaging Wavelet de-noising l/f noise Generalized cross validation Image restoration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
