Fast Removal of Stripe Noise Based on Wavelet Decomposition

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

Abstract

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.
基于小波分解的条纹噪声快速去除
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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