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采用区域均值和方差算法，计算9个相邻区域的值，从而剔除图像噪声-the regional average and variance algorithm to calculate nine neighboring region, which was removed Image Noise
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对图像进行斑点噪声的添加，用方程f=f+n*f将乘性噪音添加到到图像f上，其中n是均值为零，方差为var的均匀分布的随机噪声。
-Image spots of noise, multiplicative noise is added to the equation f = f+n* f to the image f, where n is zero mean, variance var, uniformly distributed random noise.
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对图象或信号噪方差进行估计,对二维三维或更高维度的图象进行去噪。-The image or the signal-to-noise variance estimation, two-dimensional or three-dimensional image de-noising higher dimensions.
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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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包括压缩比、运行时间和计算复原图像的峰值信噪比,空间目标识别，采用PM算法，应用小区域方差对比，程序简单。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Space target recognition algorithm using PM, Application of small area variance comparison, simple
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在MATLAB中求图像纹理特征，高斯白噪声的生成程序，光纤陀螺输出误差的allan方差分析。- In the MATLAB image texture feature, Gaussian white noise generator, allan FOG output error variance analysis.
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使用matlab实现智能预测控制算法，光纤陀螺输出误差的allan方差分析，实现了图像的加水印，去噪，加噪声等功能。- Use matlab intelligent predictive control algorithm, allan FOG output error variance analysis, Realize image watermarking, de-noising, plus noise and other functions.
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可以广泛的应用于数据预测及数据分析,光纤陀螺输出误差的allan方差分析，实现了图像的加水印，去噪，加噪声等功能。- Can be widely used in data analysis and forecast data, allan FOG output error variance analysis, Realize image watermarking, de-noising, plus noise and other functions.
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实现了图像的加水印，去噪，加噪声等功能，IMC-PID是利用内模控制原理来对PID参数进行计算，光纤陀螺输出误差的allan方差分析。- Realize image watermarking, de-noising, plus noise and other functions, The IMC- PID is using the internal model control principle for PID parameters is calculated, allan FOG output
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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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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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