| 多级全方位细节保持层叠滤波器 |
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| 引用本文： | 赵春晖,张曙,沈允春.多级全方位细节保持层叠滤波器[J].吉林大学学报(信息科学版),2003(Z1). |
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| 作者姓名： | 赵春晖 张曙 沈允春 |
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| 作者单位： | [1]哈尔滨工程大学信息与通信工程学院 [2]哈尔滨工程大学信息与通信工程学院 黑龙江 哈尔滨 [3]黑龙江 哈尔滨 |
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| 摘 要： | 以层叠滤波器理论为基础,通过对信号进行阈值分解和引入全方位结构元,提出了一种用于处理噪声图象的多级全方位细节保持层叠滤波器。通过在滤波算法中引入细节检测单元,使得滤波器的第2级可以针对噪声污染图象的不同区域,自动选择相应的滤波器单元,从而达到滤除噪声、保持图象边缘细节的效果.仿真实验验证了这种滤波器的有效性。
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| 关 键 词： | 非线性滤波 层叠滤波器 阈值分解 正布尔函数 |
Multi-level omnidrectional detail preserving stack filter |
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| ZHAO Chun-hui,ZHANG Shu,SHEN Yun-chun.Multi-level omnidrectional detail preserving stack filter[J].Journal of Jilin University:Information Sci Ed,2003(Z1). |
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| Authors: | ZHAO Chun-hui ZHANG Shu SHEN Yun-chun |
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| Abstract: | Based on stack filter theory, a new filter called multi-level omnidrectional detail preserving stack filter is developed for processing noisy image, by threshold decomposition of input signal and using multi-directional structural elements. The second stage of the filter can automatically select corresponding positive Boolean function (PBF) according to the different area of input noisy image by designing detail detection unit in the filtering algorithm. So the class of filters can effectively preserve image edge details on removing noise of image, which is also proven by simulation experiment |
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| Keywords: | Nonlinear filtering Stack filter Threshold decomposition Positive boolean function |
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