Description: 数字图像高斯噪声的去除方法的研究和产生高斯的小信号下的可能-Digital image Gaussian noise removal methods of research and produce the small-signal under the Gaussian potential Platform: |
Size: 220160 |
Author:李树龙 |
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Description: paper on Volterra Filtering Techniques for Removal of
Gaussian and Mixed Gaussian-Impulse Noise Platform: |
Size: 894976 |
Author:naeem |
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Description: OFDM下行的仿真1、产生要传输随机数；
2、进行调制；
3、串并转换；
4、进行IFFT操作（代码中有用到共轭对称向量的IFFT为实数进行简化计算）；
5、增加循环前缀；
6、并串转换；
7、输出前滤波；
8、增加信道噪声（加性高斯白噪声）；
9、接收端串并转换；
10、去除循环前缀；
11、进行FFT变换；
12、信号解调；
13、误比特率计算；
-OFDM downlink simulation 1, have to be transmitted random number 2, the modulation 3 series and transforms 4, the IFFT operation (code useful to conjugate symmetric vector of the IFFT of real numbers to simplify calculations) 5, the increase in circulating prefix 6, and string conversion 7, the output before the filter 8, increased channel noise (additive white Gaussian noise) 9, the receiver string and conversion 10, removal of cyclic prefix 11, the FFT transform 12 , the signal demodulation 13, bit error rate Platform: |
Size: 112640 |
Author:刘洋 |
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Description: This paper presents a new human skin color model in
YCbCr color space and its application to human face
detection. Skin colors are modeled by a set of three
Gaussian clusters, each of which is characterized by a
centroid and a covariance matrix. The centroids and
covariance matrices are estimated from large set of
training samples after a k-means clustering process. Pixels
in a color input image can be classified into skin or nonskin
based on the Mahalanobis distances to the three
clusters. Efficient post-processing techniques namely noise
removal, shape criteria, elliptic curve fitting and faceinonface
classification are proposed in order to !inther refine
skin segmentation results for the purpose of face detection. Platform: |
Size: 220160 |
Author:陆 |
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Description: 为图片进行添加高斯噪声均匀噪声以及椒盐噪声，并且采用a修正的均值滤波和自适应中值滤波进行除噪，并且进行除噪性能判断-Add a picture for uniform noise and Gaussian noise, salt and pepper noise, and the use of a modified mean filter and adaptive median filtering for noise removal, noise removal performance and to determine Platform: |
Size: 192512 |
Author:吴勇 |
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Description: 使用c语言产生均匀分布，高斯分布随机数的方法，使用VC为图片进行添加高斯噪声均匀噪声以及椒盐噪声，并且采用a修正的均值滤波和自适应中值滤波进行除噪-Used to produce uniform distribution of c language, method of Gaussian random numbers, use the VC to add a picture uniform noise, Gaussian noise and salt and pepper noise, and the use of a modified mean filter and adaptive median filtering for noise removal Platform: |
Size: 30343168 |
Author:吴勇 |
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Description: 关于高斯噪声去除的目前最优秀的算法 BM3D 欢迎大家交流学习-Welcome About the best algorithm BM3D Gaussian noise removal the exchange of learning Platform: |
Size: 2660352 |
Author:肖圣光 |
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Description: The spatially adapted total variation method
subproblems are solved by a locally uperlinearly convergent algorithm based on Fenchel-duality and inexact semismooth-Newton techniques.
The SATV Toolbox was written in MATLAB. It implements:
1) image restoration with a scalar regularization parameter for
- Gaussian noise removal
- deblurring and Gaussian noise removal
2) image restoration with a spatially dependent parameter for
- Gaussian noise removal
- deblurring and Gaussian noise removal.
-The spatially adapted total variation method
subproblems are solved by a locally uperlinearly convergent algorithm based on Fenchel-duality and inexact semismooth-Newton techniques.
The SATV Toolbox was written in MATLAB. It implements:
1) image restoration with a scalar regularization parameter for
- Gaussian noise removal
- deblurring and Gaussian noise removal
2) image restoration with a spatially dependent parameter for
- Gaussian noise removal
- deblurring and Gaussian noise removal.
Platform: |
Size: 100352 |
Author:all |
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Description: Abstract— with the latest advancements in electronics,
several techniques are used for removal of unwanted entities
from signals especially that are implied in the most
sophisticated applications. The removal of power line
interference from most sensitive medical monitoring
equipments can also be removed by implementing various
useful techniques. The power line interference (50/60 Hz) is
the main source of noise in most of bio-electric signals. The
report presents the removal of power line interference,
baseline wandering and additive white Gaussian noise
(AWGN) from ECG signal using the different types of
filtering technique. The project is based on digital signal
processing (DSP) techniques with MATLAB package, the
IIR Notch filter can be used for removal of power line
interference, Median can be used for Baseline wandering
noise and Discrete Wavelet Transform can be used for
removal of AWGN. Platform: |
Size: 654336 |
Author:muthupandy |
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Description: 在图像预处理中，对图像进行平滑，去除噪声，恢复原始图像是一个重要内容。本文设计了一个平滑尺度和
模板大小均可以改变的高斯滤波器，用它对多幅加入各种噪声后的图像进行平滑，经过对各个结果图像的对比可知高斯滤波
对服从正态分布的噪声去除效果比较好，并且相比各个不同参数，在平滑尺度为2，模板大小为7 时效果最佳。-In the image pre-processing, image smoothing, noise removal, restore the original image is an important element. This paper presents a smooth scales and
Changing the size of the template can be a Gaussian filter, with the addition of various pieces of the image after the noise it is smoothed through the comparison of the respective results of the image shows the Gaussian filter
For normally distributed noise removal better, and compared to various parameters in the smoothing scale is 2, the template size is 7:00 best. Platform: |
Size: 1158144 |
Author:zqc |
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Search - gaussian noise removal