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

机译:使用稀疏表示检测和移除固定值的脉冲噪声

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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:在本文中,提出了一种通过稀疏表示从图像中除去盐和辣椒噪声的新方法。所提出的方法包括两个阶段。在第一阶段中,通过阈值达到噪声图像与其稀疏表示之间的绝对差异来检测噪声像素的位置。在下一阶段,被移除作为嘈杂像素被检测的像素,然后使用稀疏表示使用图像填充。实验结果表明,所提出的滤波器适合于从图像中去除脉冲噪声。

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