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An Efficient Flicker Noise Reduction Method for Single Images

机译:一种有效的单幅闪烁噪声减少方法

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In this paper, we present a novel efficient flicker noise reduction method for single images scanned by overhead line sensors. The flicker noise here is perceived as horizontal bands which are not necessarily periodic. We view the flicker pattern as the noise of row cumulative histogram along the vertical direction, and propose two novel cumulative histogram filtering approaches to smooth the artifact, including using different Gaussian variance and padding the image. The proposed algorithm is then used to reduce the flicker noise in our scanned color images. The computational complexity of the proposed algorithm is further analyzed. The algorithm operates on singe images, and does not rely on the frequency of alternative currency, nor requires the horizontal bands are periodic. Experimental results show the superior performance of the proposed method in comparison to other existing methods.
机译:在本文中,我们针对架空线传感器扫描的单个图像提出了一种新颖的高效闪烁降噪方法。这里的闪烁噪声被认为是水平频带,不一定是周期性的。我们将闪烁模式视为沿垂直方向的行累积直方图的噪声,并提出了两种新颖的累积直方图滤波方法来平滑伪像,包括使用不同的高斯方差和填充图像。然后将所提出的算法用于减少我们扫描的彩色图像中的闪烁噪声。进一步分析了该算法的计算复杂度。该算法在单一图像上运行,不依赖替代货币的频率,也不要求水平带是周期性的。实验结果表明,与其他现有方法相比,该方法具有更好的性能。

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