Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach
Removal of Salt-and-Pepper Noise Using a High-Precision Frequency Analysis Approach
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DOI：
10.1587/transinf.2016edp7393
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发表时间：
2017-05
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影响因子：
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通讯作者：
M. Hasegawa;Kazuki Sakashita;Kousei Uchikoshi;S. Hirobayashi;T. Misawa
中科院分区：
文献类型：
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作者：
M. Hasegawa;Kazuki Sakashita;Kousei Uchikoshi;S. Hirobayashi;T. Misawa
在传输等过程中，数字图像常常会受到脉冲噪声的影响。脉冲噪声将图像中的像素数据以随机频率转换为黑(0)或白（255）值，也称为椒盐噪声。在本文中，我们通过使用非谐波分析（NHA）分析噪声图像的频率来识别被脉冲噪声损坏的像素的细节。实验结果表明，与现有的PSNR去噪方法相比，该方法具有更好的性能。此外，我们还表明，该方法在消除高噪声率图像中的脉冲噪声方面特别优越。关键词：椒盐噪声，频率分析，宏块分析
A digital image is often deteriorated by impulse noise that may occur during processes such as transmission. An impulse noise converts the pixel data in the image into black (0) or white (255) values at a random frequency and is also called salt-and-pepper noise. In this paper, we identify the details of pixels that have been damaged by impulse noise by analyzing the frequency of the noisy image using non-harmonic analysis (NHA). From experimental results, we can confirm that this method shows superior performance compared to the recent PSNR denoising method. In addition, we show that the proposed method is particularly superior in eliminating impulse noise in images with high noise rates. key words: salt-and-pepper noise, frequency analysis, macroblock analysis