基于小波分解的条纹噪声快速去除

Jingwei Yang, Sile Wang, Wenzhu Yang
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引用次数: 1

摘要

垂直条纹噪声又称瀑布伪影,一般发生在行扫描图像中。它会降低图像质量并导致物体的错误识别。提出了一种利用多分辨率小波分解去除垂直条纹噪声的新方法。首先利用小波分解对行扫描图像进行最高L级的分解。然后丢弃每个分解层中的垂直分量,去除条纹噪声。最后,利用L级处理分量重构去条纹图像。结果表明,该方法能有效地消除被污染图像中的条纹噪声。
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Fast Removal of Stripe Noise Based on Wavelet Decomposition
Vertical stripe noise, also called waterfall artifact, is generally occurred in the line scan images. It degrades the image quality and leads to object misrecognition. This paper presents a new approach for removal of vertical stripe noise using multi-resolution wavelet decomposition. The line scan image was firstly decomposed in highest L levels using wavelet decomposition. Then the vertical component in each decomposition level was discarded to remove the stripe noise. Finally, the destriped image was reconstructed from the L level processed components. The results indicate that the proposed approach can eliminate the stripe noise effectively from the polluted image.
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