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几个关于图像质量评价的函数。包括psnr峰值信噪比，均方误差rms，正则均方误差nmse等。可用于去噪图像和压缩图像的质量评价-several image quality evaluation of the function. Including psnr PSNR, mean square error rms, it is mean-square error nmse other. Images can be used for de-noising and compression of ima
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SAR图像三种滤波方法： 1、gamma_MAP滤波； 2、均方差滤波： 3、Lee滤波,SAR image filtering method three: 1, gamma_MAP filter 2, mean square error filter: 3, Lee filter
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求取图像信噪比 均方差 峰值信噪比 逼真度等的matlab 程序函数-Average Absolute Difference，Signal to Noise Ratio (dB)，Peak Signal to Noise Ratio (dB)，Image Fidelity，Mean Square Error，The difference between restoredimg entroy and originalimg，entroy
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这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。大家一起交流吧~-This is sorted out from the online image fusion evaluation criteria, there are a total of 13 perform
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两个图像质量评价函数，psnr峰值信噪比，正则均方误差nmse，能可用于去噪图像和压缩图像的质量评价，很有用啊。-Two image quality evaluation of the function. Including psnr PSNR, it is mean-square error nmse other. Images can be used for de-noising and compression of image quality evaluation.
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本实验要求编写一个计算压缩-解压缩图像的均方根误差、均方信噪比的程序。该程序是一个通用程序。编写程序产生图示的结果。使用上面的保真度准则程序计算可视信息的损失特性。-Prepared in this experiment, a calculation of compression- decompression of the root-mean-square error of image, mean square signal to noise ratio of the procedure. Th
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mehod of interpolation by bilinear,bicubic method,
local histrogram,root mean square error,image negative
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利用图像处理工具箱实现均方误差（MSE）、峰值信噪比（PSNR）和熵的源代码-By image processing toolbox to achieve the mean square error (MSE), peak signal to noise ratio (PSNR) and the entropy of the source code
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几个关于图像质量评价的函数。包括psnr峰值信噪比，均方误差rms，正则均方误差nmse等。可用于去噪图像和压缩图像的质量评价-Several functions on the image quality evaluation. Including psnr PSNR, mean square error rms, is the mean square error nmse and so on. Can be used to image denoising and compression ima
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本程序主要用两种方法对前后输入两幅RGB图像计算处理，分别计算了其均方差MSE和峰值信噪比PSNR；方法1:如果读入图像为彩色图象, 首先进行灰度化处理,依照灰度图象计算
方法2:对RGB图像均方差是所有方差之和除以图像尺寸再除以3
-This program before and after the input of two ways two RGB image calculation process to calculate the mean square error MSE an
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图像质量的均方误差程序 用于计算图像质量评价 -The mean square error of the image quality programs
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此文档中的代码可以计算5种图像的质量参数，分别是：图像灰度均值、图像方差、图像平均梯度、熵和峰值信噪比及均方误差。-The code in this document can be calculated five kinds of image quality parameters, namely: the image gray value, image variance, average gradient image, entropy and peak signal to noise ratio
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this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image-this matlab code is a least mean square error method for ellipse fitting that can fit the best ellipse in an image
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该matlab代码主要用于计算图像的边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。- calculate the uation average gradient, edge strength, information entropy, gray are Value, standard deviation (mean square er
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图像质量评价算法，均方差（MSE）、峰值信噪比（PSNR）、结构相似度（SSIM）、均值信噪比（WPSNR）。-Image quality assessment algorithm, the mean square error (MSE), the peak signal to noise ratio (PSNR), structural similarity (SSIM), the mean signal to noise ratio (WPSNR).
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Image Quality Measurement
- MSE (Mean Square Error)
- SNR (Signal to Noise Ratio)
- AD (Average Difference)
- SI (Speckle Index)
- PSNR (Peak Signal to Noise Ratio)
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这是从网上整理出来的图像融合评价标准，总共有13项性能指标。包括平均梯度，边缘强度，信息熵，灰度均值，标准差(均方差MSE)，均方根误差，峰值信噪比（psnr），空间频率(sf)，图像清晰度，互信息(mi)，结构相似性(ssim)，交叉熵(cross entropy)，相对标准差。-This is sorted out the online image fusion uation criteria, there are a total of 13 performance indicators
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噪声图像逆滤波复原,加入高斯白噪声，用均方差评价图像还原效果-Inverse filtering noise image restoration, add gaussian noise, image rendering using mean square error uation
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使用维纳滤波方法对图像进行去噪处理，用均方差评价图像还原效果-Using wiener filtering method to deal with the noise of image, image restoration effect with the mean square error uation
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An extension of the non local (NL) means is proposed for
images damaged by Poisson noise. The proposed method is
guided by the noisy image and a pre-filtered image and is
adapted to the statistics of Poisson noise. The influence of
both images ca
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