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对图像进行添加高斯、椒盐噪声并进行中值、均值滤波-Add the image Gaussian, salt and pepper noise and the ongoing value, mean filter
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Add Gaussian white noise (mean=0 and variance=0.05 ) to the image using
imnoise command. Now use fftshift command to put all zero frequencies in the
middle. Low-pass filter this function by applying a mask saving only the central
Fourier coeffi
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matlab对图像随机添加四种噪声，然后分别通过自编中值滤波，均值滤波，高斯滤波，和维纳滤波进行滤波-matlab add four random noise to the image, and then were filtered by self median filtering, mean filtering, Gaussian filtering, and Wiener filtering
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（1）读取一幅图像，添加高斯、椒盐噪声，用邻域平均法、中值滤波法和K邻近平均法处理。
（2）读取一幅图像，利用Roberts梯度法、Sobel算子和拉普拉斯算子进行锐化，并比较结果。-1.read an image, add a Gaussian/salt or pepper noise, then process with the neighborhood average/median filtering or K N nearest average law method.Output p
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halcon代码 ，对图像添加高斯噪声 椒盐噪声-halcon code, add the image Gaussian noise impulse noise
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matlab code
Proposed Algorithm
1. Consider the image to be resized to N x N (Original image I having N value of pixel)
2. Image is to be changed into gray and double for 2-D image.
3. Add noise to image using gaussian white filter.
4.
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图像处理方面基础框架结构。主要是对图像的灰度操作，均值，中值最大值最小值滤波。添加一些如高斯噪声等噪声，还有对图像进行去噪处理。显示图像的RGB分量，对图像进行灰度直方图均衡化和归一化。-Based image processing framework. The main image is a gray operation, mean, median maximum minimum filter. Add some noise such as Gaussian noise, as well as
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本程序是利用逆滤波，维纳滤波，LR算法对运动模糊图像以及加高斯白噪声的运动模糊图像进行处理，并比较其处理效果。-This procedure is the use of inverse filtering, Wiener filtering, LR algorithm for image motion blur and add Gaussian white noise motion blurred image processing, and compare its treatment effec
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导入一幅含有交通标志的图像，可以对该图像添加高斯、椒盐等噪声并进行中值滤波、维纳滤波、小波去噪等，最终目的可以实现对图像的RGB、HSV以及SVF的颜色分割。-Importing a traffic sign containing the image, you can add a Gaussian, salt and pepper and other noise on the image and median filtering, Wiener filtering, wavelet de-noi
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