椒盐噪声是由图像传感器,传输信道,解码处理等产生的黑白相间的亮暗点噪声。 椒盐噪声是指两种噪声,一种是盐噪声(salt noise)盐 = 白色(255),另一种是胡椒噪声(pepper noise)椒 = 黑色(0)。前者是高灰度噪声,后者属于低灰度噪声。一般两种噪声同时出现,呈现在图像上就是黑白杂点。 对于彩色图像,也有可能表现为在...
This paper conducts the analysis of salt and pepper noise present within the images. Because of this noise black and white pixels appear over the image. The noise will cause the image to be distorted. The impact of this noise is studied over the image. The mechanisms are also presented ...
必应词典为您提供salt-and-pepper-noise的释义,un. 黑白点相间噪声; 网络释义: 椒盐噪声;胡椒盐杂讯;盐和胡椒噪声;
M. Anand and Y. Narasimha, "Removal of Salt and Pepper Noise from highly Corrupted Images using Mean Deviation statistical parameter," International Journal on Computer Science and Engineering (IJCSE), vol/issue: 5(02), 2013.Anand, M. and Narasimha, Y. (2013) Removal of salt and pepper ...
For removing salt and pepper noise from corrupted image we are using so many algorithms. In this paper we propose two phase scheme for removing salt and pepper noise and edge preservation; in the first phase Adaptive median filter is used to detect corrupted pixel and preserving the edges. In...
21 // Declare Gaussian image for lena.jpg 22 Bitmap^ spImg = gcnew Bitmap(oriImg->Width, oriImg->Height); 23 24 // Salt-and-Pepper noise with salt rate=5% and pepper rate=5% 25 double salt = 0.05, pepper = 0.05; 26 saltpepperNoise(oriImg, spImg, salt, pepper); ...
//Declare Gaussian image for lena.jpg 22 Bitmap^spImg=gcnew Bitmap(oriImg->Width, oriImg->Height); 23 24 //Salt-and-Pepper noise with salt rate=5% and pepper rate=5% 25 doublesalt=0.05, pepper=0.05; 26 saltpepperNoise(oriImg, spImg, salt, pepper); ...
2.The median filtering method can suppress salt & pepper noise, but the image′s details are blurred at the same time.图像中的椒盐噪声是一种特殊的噪声,处理不当会使图像本身的细节变得模糊不清,从而使图像降质。 3.In the digital imaging equipment,Gaussian white noise and salt & pepper noise ar...
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Salt-and-pepper noise can corrupt images where the corrupted pixel takes either maximum or minimum gray level. This noise can significantly deteriorate the quality of an image. How to efficiently remove this kind of impulse noise is an important research task. Many nonlinear filters have been ...