| 一种小波自适应比例萎缩去噪改进算法 |
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| 引用本文： | 郭蕾,田松,许悦雷,李涛.一种小波自适应比例萎缩去噪改进算法[J].电视技术,2012,36(11):27-29,46. |
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| 作者姓名： | 郭蕾 田松 许悦雷 李涛 |
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| 作者单位： | 空军装备研究院航空装备研究所,空军工程大学航空航天工程学院,空军工程大学航空航天工程学院,空军工程大学航空航天工程学院 |
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| 基金项目： | 航空科学基金资助项目（20115896022） |
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| 摘 要： | 作为小波应用于图像去噪的一种重要的方法,小波比例萎缩法具有很强的局部自适应能力,它的去噪效果与Donoho的收缩法相比有了很大的提高。但是比例萎缩法有其自身缺陷,重建后的图像容易出现"波纹"状噪声。从产生这种噪声的原理入手,提出了一种对方差估计进行改进的算法,很好地克服了比例萎缩法中出现的这种噪声,提高了图像的去噪质量。
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| 关 键 词： | 小波去噪 自适应比例萎缩法 方差估计改进 |
| 收稿时间： | 4/11/2012 8:03:01 AM |
| 修稿时间： | 5/8/2012 8:44:17 PM |
An Improved De-noising Algorithm Based on Adaptive Proportional-shrink in Wavelet Field |
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| guo lei,tian song,xu yuelei and LITAO.An Improved De-noising Algorithm Based on Adaptive Proportional-shrink in Wavelet Field[J].Tv Engineering,2012,36(11):27-29,46. |
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| Authors: | guo lei tian song xu yuelei and LITAO |
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| Affiliation: | Equipment Academy of Air Force, Institute of Aviation Equipment,Air Force Engineering University aeronautics and astronautics Engineering College,Air Force Engineering University aeronautics and astronautics Engineering College,Air Force Engineering University aeronautics and astronautics Engineering College |
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| Abstract: | As an important method applied to image de-noising in wavelet field, adaptive proportional-shrinking algorithm has a strong local adaptive capacity in wavelet domain. Compared with Donoho's shrinking method, its effect has been greatly improved. But the proportional-shrinking algorithm has defects and the image is prone to the ripple-noise after reconstruction. Starting from the principle to produce this noise, an algorithm which improves the variance estimation is proposed in this article. The ripple-noise which appeared in proportional-shrinking algorithm is well overcome and the quality of image is greatly improved. |
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| Keywords: | wavelet de-noising adaptive proportional-shrinking algorithm Improve variance estimation |
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