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Detection and removal of fixed-valued impulse noise using sparse representations

机译:使用稀疏表示来检测和消除定值脉冲噪声

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摘要

In this paper, a new method to remove salt and pepper noise from an image through sparse representation is proposed. The proposed method consists of two stages. In the first stage, the positions of noise pixels are detected by thresholding the absolute difference between the noisy image and its sparse representation. In the next stage, the pixels that are detected as noisy pixels are removed and then filled using image inpainting through sparse representation. The experimental results show that the proposed filter is suitable for removing impulse noise from an image.
机译:本文提出了一种通过稀疏表示去除图像中盐和胡椒噪声的新方法。所提出的方法包括两个阶段。在第一阶段,通过对噪声图像及其稀疏表示之间的绝对差进行阈值检测来检测噪声像素的位置。在下一阶段,将检测为噪点像素的像素移除,然后通过稀疏表示使用图像修复进行填充。实验结果表明,所提出的滤波器适用于去除图像中的脉冲噪声。

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