In this paper, a simple algorithm based on noise-located is presented to remove salt and pepper noise from gray-scale image.
文章提出了一种基于先定位、后滤波思想的椒盐噪声滤除算法。
A nonlinear filtering algorithm was presented to remove salt and pepper noise from gray-scale image while preserving details.
针对灰度图像的椒盐噪声滤波问题，提出一种保细节的非线性滤波算法。
The simulation experiment shows that this algorithm can protect image signal detail as much as possible when effectively eliminates salt and pepper noise.
实验结果表明，与标准中值滤波算法相比，该算法可以有效地滤除图像中的椒盐噪声，同时还能很好地保留图像的细节。
According to the changes of gray value range of images pollute by salt and pepper noise, this paper proposed an improved weighted mean filtering algorithm.
根据椒盐噪声污染图像灰度值取值范围的变化，提出了一种改进的加权均值滤波算法。
The method can overcome the shortage of low-efficiently of adaptive median filter in eliminating the sharp salt and pepper noise point, when the probability of salt and pepper noise is high.
该方法克服了自适应中值滤波不能有效剔除掉尖锐椒盐噪声点的不足。
In most situations we will deal with image noise with high density, especially it is very difficult for processing image corrupted by salt-and-pepper noise with high probabilities.
在许多场合都会遇到高强度噪声的图像，特别是椒盐噪声的滤除非常困难。
The experiment shows that this method can powerfully denoise salt-and-pepper noise with good edge-preserving.
实验结果证明，这种方法不但能有效地滤除椒盐噪声，而且能够很好地保持边缘。
In order to improve the performance of median filter and enhance adaptability for different intensity pepper-salt noise, a median filter based on noise density estimation is proposed.
为了提高中值滤波器的滤波性能和适应不同强度的椒盐噪声，提出了基于噪声强度估计的中值滤除算法。
The paper starts with the basic concepts of digital images. First of all, it discuss Gaussian noise and salt-pepper noise characteristics under the digital image.
本文从数字图像的基本概念入手，首先讨论了数字图像下高斯噪声和椒盐噪声的特点。
This paper introduces a new method for denoising salt-and-pepper noise with edge-preserving to resolve the problems existing in median filter.
为此，提出一种去除椒盐噪声并保持边缘的新方法，力图解决中值滤波在去除椒盐噪声时的问题。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
Combining the advantages of median filtering and wavelet transform in denoising salt and pepper and gauss noise, bring up a sort of mixing denoise algorithm, and analyze the critical steps on detail.
结合中值滤波与小波去噪分别去除椒盐噪声和高斯噪声中的优势，提出了一种指纹图像混合去噪算法，并对其中的关键步骤进行了详细分析。
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