一種具有魯棒性的基于小波變換的濾波方法
Robust filter algorithm based on wavelet
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摘要: 該文研究了空間分布不均勻信號及不同噪聲在小波變換下的不同特性，提出了一種基于小波變換與排序統(tǒng)計濾波相結(jié)合的噪聲消除方法。該方法利用了不同尺度下小波變換之間的相關(guān)特性及不同噪聲小波變換的特性并結(jié)合排序統(tǒng)計原理自適應(yīng)地選擇小波域局部門限進(jìn)行降噪濾波。實驗證明，該濾波方法對于不同性質(zhì)噪聲都有很好的濾波性能。
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關(guān)鍵詞:
- 小波變換; 多分辨率; 多層中值濾波; 圖像濾波
Abstract: This paper studies mainly different properties of non-stationary signals and different kinds of noise under wavelet transformation, and presents a novel algorithm based on wavelet transformation and order statistic filter to attenuate noises. The algorithm attenuates the noise by choosing local threshold through the relativity property between different wavelet transformation with different scales, the different properties of different noises under wavelet transform and the order statistical theory. The simulation experiments show that that the algorithm has good property for different kinds of noise. -
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