| 一种基于小波阈值的图像去噪方法研究 |
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| 引用本文： | 陶娜娜,高军,张建.一种基于小波阈值的图像去噪方法研究[J].农业装备与车辆工程,2007(1):30-32. |
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| 作者姓名： | 陶娜娜 高军 张建 |
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| 作者单位： | 山东理工大学,机械工程学院,山东,淄博,255049 |
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| 摘 要： | 在印刷品质量检测系统中，采集来的图像不可避免会出现噪声。针对这种情况，本文提出了基于小波阈值的图像去噪方法。该方法首先对噪声图像进行小波变换得到小波系数矩阵，硬阈值化后，对阈值化后的小波系数矩阵逆变换。得到去噪图像。实验结果表明，该方法比中值滤波具有更好的去噪效果。
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| 关 键 词： | 图像去噪 小波变换 阈值 |
| 文章编号： | 1673-3142(2007)01-0030-03 |
| 修稿时间： | 2006年10月25 |
Image Denoising Algorithm Based on Wavelet Threshold Shrinkage |
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| TAO Na-na,GAO Jun,ZHANG Jian.Image Denoising Algorithm Based on Wavelet Threshold Shrinkage[J].Agricultural Equipment & Vehicle Engineering,2007(1):30-32. |
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| Authors: | TAO Na-na GAO Jun ZHANG Jian |
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| Abstract: | In the system of detecting fine press work, the acquired digital images will be noised unavoidable. So a method of image denoising based on wavelet threshold shrinkage is proposed. Firstly, noised image are decomposed by wavelet transform. The coefficients are dealt with by hard threshold shrinkage. At last, wavelet transactions are inversed to get the denoised image. Experimental results demonstrate that this method is more valid than medium value filtering. |
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| Keywords: | image denoising wavelet transform threshold value |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
