Description: boundstoobox for evalution denoised image. This toolkit contains the main Matlab function and other required functions to estimate the bound on the MSE that can be expected in denoising a given image. Platform: |
Size: 1582080 |
Author:z |
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Description: 计算均方误差MSE信噪比SNR峰值信噪比PSNR绝对平均误差的matlab函数-Calculate the mean square error MSE, SNR is the peak signal to noise ratio PSNR absolute average error of Matlab functions Platform: |
Size: 4096 |
Author:新雨 |
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Description: 均方误差信噪比 峰值信噪平均绝对误差的计算-Write MATLAB functions that take two grayscale images as input, and calculate the
following image difference metrics:
Mean Squared Error (MSE)
Signal to Noise Ratio(SNR)
Peak Signal to Noise Ratio (PSNR)
Mean Absolute Error (MAE)
Process the given test images “Lena” with its original and after-adding-noise Platform: |
Size: 3072 |
Author:宁可 |
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Description: 灰度图像的量化和直方图均衡化直接调用函数。量化是指将像素灰度转换成离散的整数值的过程。量化等级越多，所得图像层次越丰富，灰度分辨率高，图像质量好，但数据量大。-Write MATLAB functions to quantize grayscale image with given quantization step Q.
Process the given test images “Lena” with quantization steps Q=2, 4, 8 16, 32, 64, 128.
Calculate the MSE for the original and quantized images using MATLAB methods written for
the Task 1. Plot the MSE for the test image as a function of quantization step Q.
Show quantized images and the corresponding histograms for each quantization step Q. Show
the test image and its histogram. Platform: |
Size: 3072 |
Author:宁可 |
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Search - matlab functions mse