幂次迭代去噪

2010 Ninth International Conference on Machine Learning and Applications Pub Date : 2010-12-12 DOI:10.1109/ICMLA.2010.131

Panganai Gomo, Mike Spann

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引用次数: 0

摘要

提出了一种简单的图像去噪方法——功率迭代去噪(PID)。PID通过对由图像生成的归一化成对相似性矩阵进行截断幂次迭代，找到图像数据的低维嵌入。结果表明，该嵌入算法是一种有效的去噪算法，优于广泛使用的非局部均值算法。我们将这种方法应用于噪声数码相机图像的去噪，产生视觉上令人满意的效果。

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Power Iteration Denoising

We present a simple method for image denoising called power iteration denoising (PID). PID finds a low dimensional embedding of the image data using a truncated power iteration on a normalized pair-wise similarity matrix generated from the image. This embedding turns out to be an effective denoising algorithm outperforming the widely used non-local means algorithm. We apply this method to the denoising of noisy digital camera images producing visually pleasing results.

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2010 Ninth International Conference on Machine Learning and Applications

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