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8下载：
图像处理，图像的峰值信噪比PSNR，matlab代码例程，验证可用,Image processing, image the peak signal to noise ratio PSNR, matlab code routines can be used to verify
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基于小波变换的图像压缩代码，包括压缩比、运行时间和计算复原图像的峰值信噪比-Image compression based on wavelet transform code, including compression ratio, operation time and recovery images of the peak signal to noise ratio calculation
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计算两幅图像的SNR信噪比的源代码MATLAB版-Calculation of two images PSNR peak signal to noise ratio of the source code version of MATLAB
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该代码用于给出在matlab环境下求峰值信噪比及比特率。-The matlab code for the given environment in order to peak signal to noise ratio and bit rate.
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此代码是小波零树算法的matlab实现程序，子程序较为齐全，包括最后计算压缩图像的峰值信噪比和压缩效果的源码。-This code is the wavelet zero-tree algorithm matlab implementation procedures, subroutines are more complete, including the final calculation of the peak signal to noise ratio and the compressed
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Matlab code for calculation of Peak signal to noise ratio
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MATLAB实现中值滤波源代码,此文件为MATLAB做图像中值滤波的源代码，并且计算均方误差，归一化均方误差以及峰值信噪比-MATLAB median filter source code, the source code of this file for MATLAB image median filtering, and calculate the mean square error, normalized mean square error and peak signal-to-noise
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matlab code
Proposed Algorithm
1. Consider the image to be resized to N x N (Original image I having N value of pixel)
2. Image is to be changed into gray and double for 2-D image.
3. Add noise to image using gaussian white filter.
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以下在matlab中利用图像处理工具箱实现峰值信噪比（PSNR）和NC的源代码
-The following image processing toolbox for peak signal to noise ratio (PSNR) and NC source code in matlab
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The following Matlab project contains the source code and Matlab examples used for psnr (image processing). Calculates the Peak-to-peak signal to noise ratio of two images X and Y.
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分形维数计算的毯子算法matlab代码,利用matlab针对图像进行马氏距离计算 ,包括最后计算压缩图像的峰值信噪比和压缩效果的源码。- Fractal dimension calculation algorithm matlab code blankets, Using matlab to calculate the Mahalanobis distance for the image, Including the final calculation of the compressed ima
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用于图像分析衡量标准的峰值信噪比，有例子和源代码公式！(the peak signal to noise ratio for the image analysis measurement standard, with examples and source code formula!)
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