Description: 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 image quality evaluation Platform: |
Size: 1836 |
Author:王晓甜 |
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Description: 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 image quality evaluation Platform: |
Size: 2048 |
Author:王晓甜 |
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Description: 使用二维离散余弦变换(DCT)进行图象压缩。原始图象被转换成为8*8大小的块进行压缩和重构。 Cnum:为压缩时保留的系数的个数 MSM:均方误差压缩应该做到在最合理的近似原图象的情况下使用最少的系数。函数：dctmtx:返回一个n*n阶DCT变换 blkproc:对图象进行不同的块处理。 im2col:重排图象块为矩阵列。注意：只适用于灰度图象。-The use of two-dimensional discrete cosine transform (DCT) for image compression. Original image is converted to become the size of 8* 8 block compression and reconstruction. Cnum: reservations for the compression factor of the number of MSM: mean square error compression should be done in the most reasonable approximation of the original image using the least coefficient. Function: dctmtx: returns an n* n-order DCT transform blkproc: image processing of different blocks. im2col: rearrangement of the matrix block out images. Note: only applicable to grayscale images. Platform: |
Size: 3072 |
Author:hff |
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Description: 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. Platform: |
Size: 1024 |
Author:sanmu |
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Description: 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. The procedure is a common procedure. Picture shows the preparation of the results of procedures. The use of the above criteria for the fidelity of calculated loss characteristics of visual information. Platform: |
Size: 95232 |
Author:jhm |
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Description: With the development in the image processing field a wide variety of filters have been developed. The quality of filters mainly depends on to which extent it is able to recover the degraded image so that it is as close as to the original image that is in other words, a filter that minimizes the mean square error is an appropriate filter for a particular application. Median Filter is such a kind of non linear filter which minimizes the mean square error to a large extent. A variant of a median filter “switching median filter” is simulated using C in this project. Platform: |
Size: 526336 |
Author:pkverma |
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Description: 利用Matalab软件分别编写子函数实现数字图像压缩及解压缩处理，并统计分析压缩处理算法所能够实现的压缩比及解压图像和原始图像间的均方根误差。-Functions were written by Matalab software for digital image compression and decompression processing, and statistical analysis of compression algorithms to achieve the compression ratio and decompression images and root mean square error between the original image. Platform: |
Size: 624640 |
Author:zhang |
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Description: 本程序采用一种基于垂直Sobel算子检测边缘和投影法的车牌定位方法,根据车牌区域竖直纹理突出的特点，利用Sobel垂直算子提取边缘，然后投影得到车牌的水平投影图，利用水平投影图分割出车牌，再运用膨胀运算进行车牌垂直定位。利用旋转投影法寻找车牌倾斜角度，然后用双线性插值进行车牌图像倾斜矫正。对经过精定位的车牌利用垂直投影法，找出各个字符的中心点，根据字符中心点位置进行切割。同时将切割出来的图片与数据库中的每张模板图片进行减法运算，计算该图片与模板的均方误差，其均方误差最小的模板即为识别出的字符。-This program uses edge detection and projection of license plate positioning method based on vertical Sobel operator, according to a prominent feature of the license plate area vertical texture operator Sobel vertical edge extraction, then the horizontal projection of the projector to get the license plate, the horizontal projection the Figure split out the license plate, and then use the the dilation operation license plate vertical positioning. Take advantage of the rotation projection method to find the license plate tilt angle, and then the license plate image tilt correction bilinear interpolation. The focal point for fine positioning license plate using the vertical projection method to identify each character, according to the the character center point cut. Cutting out pictures with each template images in the database, subtraction, calculation of the mean square error of the picture with the template, the mean square error of the smallest template is identified characters. Platform: |
Size: 7168 |
Author:埃米尔 |
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Description: 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 ratio Platform: |
Size: 125952 |
Author:123 |
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Description: 采用全逆滤波和最小均方误差（维纳）滤波对退化的图像进行还原.图像复原技术就是将图像退化过程模型化，并且采用相反的过程进行处理，以便复原出原始图像.-The full inverse filtering and minimum mean square error (Wiener) filter to restore the degraded image image restoration technology is the process of image degradation model, and the opposite process for processing, in order to recover the original image. Platform: |
Size: 221184 |
Author:jinly |
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Description: 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. Can be used for image denoising and compression of image quality evaluation Platform: |
Size: 2048 |
Author:king |
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Description: 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 Platform: |
Size: 16384 |
Author:maryam |
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Description: copper_file.txt是保存图像颜色特征值，除了J10,J16,J25
yydata.txt是对应测量的品位值
xs.txt是J10,J16,J25对应的图像颜色特征值。
realdata.txt是J10,J16,J25对应的品位值。
P变量是预测值
rs是均方差平方根值。-copper_file.txt image color feature value is preserved, except for J10, J16, J25 yydata.txt grade is the corresponding measured values xs.txt is J10, J16, J25 color image corresponding eigenvalues. realdata.txt is J10, J16, J25 corresponding grade values. P rs variable is the predicted value is the square root of the mean square error value. Platform: |
Size: 1024 |
Author:renchuancheng |
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Description: 本代码由matlab语言编写，实现了jpeg算法，主要为了说明基本的JPEG功能。经过DCT变化，量化，进行DPCM编码，然后之字形扫描AC系数，进行行程（LZW）编码。 显示原始图象和经编码解码后的图象，显示压缩比，并计算均方根误差。-The code consists of matlab language, to achieve a jpeg algorithm, mainly to illustrate the basic functionality of JPEG. After changing DCT, quantization, for DPCM coding, then the AC coefficients of the zigzag scanning, for stroke (LZW) coded. Shows the original image and the encoded decoded image showing the compression ratio, and calculate the mean square error. Platform: |
Size: 5120 |
Author:wyd |
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Description: 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.
4. Image de-noising using Isotropic Total variation filter can provide much better result than the LLSURE filter.
Where is the adjoint operator of with respect to standard inner product.
5. The corresponding Euler-Lagrange equation
6. Calculate Mean Square Error and Peak Signal Noise Ratio for de-noise image.
-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.
4. Image de-noising using Isotropic Total variation filter can provide much better result than the LLSURE filter.
Where is the adjoint operator of with respect to standard inner product.
5. The corresponding Euler-Lagrange equation
6. Calculate Mean Square Error and Peak Signal Noise Ratio for de-noise image.
Platform: |
Size: 741376 |
Author:sandeep |
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Description: This bash script provides a way to identify similar photos (e.g. similar size, content, distribution ) and not exact duplicates. This is particularly helpful when training images for Machine Learning purposes.
How it works:
the script inside a folder
the script recursively scans all directories for any image files and stores them for further processing
compares each image with the rest of the set
if the images differ in size, scale them down to a 300x300 square and compare
if the images are of equal size, compare them and produce the Root Mean Square Error of their pixel values
continue with next image in the set
-This bash script provides a way to identify similar photos (e.g. similar size, content, distribution ) and not exact duplicates. This is particularly helpful when training images for Machine Learning purposes.
How it works:
the script inside a folder
the script recursively scans all directories for any image files and stores them for further processing
compares each image with the rest of the set
if the images differ in size, scale them down to a 300x300 square and compare
if the images are of equal size, compare them and produce the Root Mean Square Error of their pixel values
continue with next image in the set
Platform: |
Size: 1024 |
Author:Walker |
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Description: 包括脚本文件和函数文件形式，包括AHP，因子分析，回归分析，聚类分析，到达过程是的泊松过程，欢迎大家下载学习，粒子图像分割及匹配均为自行编制的子例程，最小均方误差（MMSE）的算法，基于负熵最大的独立分量分析，用于特征降维，特征融合，相关分析等。- Including script files and function files in the form, Including AHP, factor analysis, regression analysis, cluster analysis, Arrival process is a Poisson process, Welcome to download the study, Particle image segmentation and matching subroutines themselves are prepared, Minimum mean square error (MMSE) algorithm, Based on negative entropy largest independent component analysis, For feature reduction, feature fusion, correlation analysis. Platform: |
Size: 7168 |
Author:vrackgym |
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Description: 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 can be tuned using two filtering parameters. We
propose an automatic setting to select these parameters based
on the minimization of the estimated risk (mean square error).
This selection uses an estimator of the MSE for NL means
with Poisson noise and Newton’s method to find the optimal
parameters in few iterations(An extension of the non local (NL) means is proposed for images damaged by Poisson noise.) Platform: |
Size: 453632 |
Author:金戈铁马1980
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Search - mean square error for image