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用于图像处理的独立分量分析，针对EMD方法的不足,自己编的5种调制信号，IMC-PID是利用内模控制原理来对PID参数进行计算，独立成分分析算法降低原始数据噪声，采用了小波去噪的思想，应用小区域方差对比，程序简单。
- Independent component analysis for image processing, For lack of EMD, Own five modulation signal, The IMC- PID is using the internal model
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光纤陀螺输出误差的allan方差分析，人脸识别中的光照处理方法，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- allan FOG output error variance analysis, Face Recognition light treatment method, Including the final calculation of the compressed image peak signal to noise ratio and compression of the so
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Application of small area variance comparison, simple procedures, Phased array antenna pattern (Chebyshev weights), Including the final calculation of the compressed image peak signal to noise ratio and compression of the source.
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主要包括DIP 3/e—Student Projects的说明文档以及实验05-04的详细代码，实验的要求为：
Instruction manual:
(a) Implement a blurring filter as in Eq. (5.6-11).
(b) Blur image 5.26(a) in the +45o direction using T = 1, as in Fig. 5.26(b).
(c) Add Gaussian noise of 0 mean and
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1-1、图象的灰度变换
对图象p1-03实施灰度平方根变换
1， 要求：显示变换前后2幅图象和2幅直方图，变换参数自行设定。
1-2、空域平滑
对图象p1-03施加高斯噪声和椒盐噪声并实施梯度倒数加权平滑法
要求：显示变换前后2幅图象，利用方差评价空域平滑的效果。
1-3、空间锐化
根据Sobel算子，按照公式4.3.8和公式4.3.9对图象p1-03实施空间锐化
要求：显示变换前后2幅图象。(1-1. Gray transformation of image
The squa
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噪声发生器
查找（或开发）将高斯噪声添加到图像的程序。您必须能够指定噪声均值和方差。(1.Noise Generators
This is a generic project, in the sense that the programs developed here are used in several of the projects that follow. See Fig. 5.2 for the shapes and parameters of the following nois
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约束最小二乘方滤波要求噪声的方差和均值，这些参数可通过给定的退化图像计算出来，这是约束最小二乘方滤波的一个重要优点。(Constrained least square square filtering requires the variance and mean of noise. These parameters can be calculated by a given degraded image. This is an important advantage of constrained
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