Description: 在图像中加入随机高斯噪声的源代码,在MATLAB环境下实现。-in the image by adding Gaussian random noise source code in the MATLAB environment to achieve. Platform: |
Size: 34147 |
Author:丁德锋 |
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Description: 在图像中加入随机椒盐噪声的源代码,在MATLAB环境下实现。-in the image by adding random noise and pepper the source code in the MATLAB environment to achieve. Platform: |
Size: 34125 |
Author:丁德锋 |
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Description: 在图像中加入随机高斯噪声的源代码,在MATLAB环境下实现。-in the image by adding Gaussian random noise source code in the MATLAB environment to achieve. Platform: |
Size: 33792 |
Author:丁德锋 |
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Description: 在图像中加入随机椒盐噪声的源代码,在MATLAB环境下实现。-in the image by adding random noise and pepper the source code in the MATLAB environment to achieve. Platform: |
Size: 33792 |
Author:丁德锋 |
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Description: MATLAB给图像添加高斯、椒盐、加性及乘性噪声(噪声生成)源代码Free Source Code for Adds diferent types of noise to an image-MATLAB add to the image Gaussian, salt and pepper, additive and multiplicative noise (noise generated) source code Free Source Code for Adds diferent types of noise to an image Platform: |
Size: 2048 |
Author:余永松 |
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Description: 利用matlab 处理 加入高斯噪声的图像分别作均值、中值和维纳滤波-Adding Gaussian noise using matlab image processing were as mean, median and Wiener filtering Platform: |
Size: 1024 |
Author:李俊 |
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Description: 基于MATLAB的图像处理的基本运算
(1)能够对图像亮度和对比度变化调整,并比较结果
(2)编写程序通过最近邻插值和双线性插值等算法将用户所选取的图像区域进行放大和缩小整数倍的和旋转操作,并保存,比较几种插值的效果
(3)图像直方图统计和直方图均衡,要求显示直方图统计,比较直方图均衡后的效果。
(4)对图像加入各种噪声,比较效果。
-Adjustment of image brightness and contrast changes, and compare the results based on MATLAB image processing operations (1) (2) to program the image area selected by the user to zoom in and out through the nearest neighbor interpolation and bilinear interpolation algorithm integer multiples and the rotary operation, and save, compare several interpolation image histogram and histogram equalization of the effect (3), required to display the histogram, comparative histogram after equalization effect. (4) adding a variety of noise on the image, comparing the effect. Platform: |
Size: 10240 |
Author:苏琴 |
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Description:
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding.-
Wavelet denoising
For using this code need to use signal toolbox and general toolbox in your matlab
In the first part of this assignment, we asked to obtain a (black-and-white) digital image of size
512 by 512 and then generate noisy image by adding a Gaussian noise but under the condition of
having SNR=20dB by select the suitable value of variance for Gaussian noise formula.
Second step is performing wavelet denoising using the hard thresholding (Use the db 6 for four
levels) in the condition of finding the optimal thresholding value of T in terms of the SNR obtained. It
means that, we should find the highest SNR value by finding the suitable value for threshold. Then we
asked to do the same process but this time using soft thresholding.
Finally for the last part of question one, we should compare the results of the obtained SNR
with the recommendations of 3*sigma for the hard thresholding and 3/2*sigma for the soft
thresholding. Platform: |
Size: 91136 |
Author:jams1166 |
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