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NSCT-based image denoising using 3-D directional windows

机译:基于NSCT的图像去噪使用3-D定向窗口

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Nonsubsampled Contourlet Transform (NSCT) is an effective representation tool in image denoising for its outstanding asymptotic rate and shift-invariance property. Proposed is a novel NSCT-based image denoising algorithm makes use of directional dependence. We describe the NSCT coefficients into 4D models, and select threshold after filtering with 3D directional windows. Experiment results show that the algorithm can highly shrinks the noise coefficients, enhances the edge coefficients and obtains higher peak signal-to-noise ratio.
机译:Nonsubs采样轮廓变换(NSCT)是图像去噪的有效表示工具,用于其出色的渐近率和移位不变性。提出的是一种基于NSCT的图像去噪算法,利用方向依赖性。我们将NSCT系数描述为4D模型,并在使用3D方向窗口过滤后选择阈值。实验结果表明,该算法可以高度缩小噪声系数,增强边缘系数并获得更高的峰值信噪比。

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