| 基于子波域空间相关的多分辨图像滤波方法 |
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| 引用本文： | 易翔,王蔚然. 基于子波域空间相关的多分辨图像滤波方法[J]. 光电工程, 2003, 30(6): 64-67 |
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| 作者姓名： | 易翔 王蔚然 |
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| 作者单位： | 电子科技大学电子工程学院,四川,成都,610054 |
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| 摘 要： | 从静态子波变换入手,提出了一种有效的图像滤波算法。通过计算相邻尺度下细节信号的空间相关性来区分噪声和信号,如果子波系数的空间相关性大,则认为此位置的系数含有特征及边缘信息予以保留。实现这种理论的完整方法包括两部分:空间滤波和子波收缩。仿真结果表明这个算法有很好的降噪性能。
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| 关 键 词： | 静态子波变换 空间滤波 空间相关 特征提取 |
| 文章编号： | 1003-501X(2003)06-0064-04 |
| 收稿时间： | 2002-12-25 |
| 修稿时间： | 2002-12-25 |
Multi-resolution image filtering algorithm based on wavelet domain spatial correlation |
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| YI Xiang,WANG Wei-ran. Multi-resolution image filtering algorithm based on wavelet domain spatial correlation[J]. Opto-Electronic Engineering, 2003, 30(6): 64-67 |
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| Authors: | YI Xiang WANG Wei-ran |
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| Abstract: | Starting from stationary wavelet transform, an effective image-filtering algorithm is proposed. Image is distinguished from noise through calculating the spatial correlation of the adjacent detail signals. If the spatial correlation of wavelet coefficient is large, then the coefficient at this position will be considered as containing characterization and edge information, and it will be kept. The integral method for realizing this theory consists of two parts: spatial filtering and wavelet shrinking. Simulation results show that this algorithm has good noise reduction performance. |
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| Keywords: | Stationary wavelet transform (SWT) Spatial filtering Spatial correlation Feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
