| 基于小波域的软阈值噪声图像增强 |
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| 引用本文： | 汪强,何文德.基于小波域的软阈值噪声图像增强[J].长沙大学学报,2005,19(2):64-66. |
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| 作者姓名： | 汪强 何文德 |
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| 作者单位： | 长沙大学计算机科学与技术系,湖南,长沙,410003 |
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| 摘 要： | 针对噪声图像增强提出基于小波域的软阈值算法，基于信号和噪声在小波变换现具有不同的传播特性，图像经二维小波变换后得不同尺度的子带图像，在不同尺度的子带图像以软阈值算法进行增强，最后进行小波重构得到增强图像，实验表明，与传统算法相比本文算法在细节增强和噪声抑制上取得较好效果。
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| 关 键 词： | 图像增强 图像去噪 小波变换 软阈值 |
| 文章编号： | 1008-4681(2004)05-0064-03 |
| 修稿时间： | 2004年7月1日 |
A Method of Wavelet Noise Image Enhancement Based on Soft Threshold |
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| WANG Qiang,HE Wende.A Method of Wavelet Noise Image Enhancement Based on Soft Threshold[J].Journal of Changsha University,2005,19(2):64-66. |
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| Authors: | WANG Qiang HE Wende |
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| Abstract: | A method of removing noise wavelet image enhancement based on soft threshold is proposed. Noise reduction is based on the different propagation property between unevenly distributed signals and noise under the wavelet transform. The DWT decomposes an image into a set of different scale smaller images, then detail coefficients are enhanced based on the soft threshold, prior to obtaining the inverse transform. Finally, experimental results show that the method is superior to the primary one and it can effectively enhance image details and preserve image edge. |
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| Keywords: | Image enhancement Image de-noising Wavelet transform Soft threshold |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
