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EPLL

于 2020-11-25 发布文件大小:3844KB

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下载积分: 1 下载次数: 44

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一篇基于Expected Patch Log Likelihood的图像去噪文章及其实现(One based on Expected Patch Log Likelihood Denoising article and its realization)

文件列表：

EPLLwithSparsePrior.pdf,2326217,2016-02-27
EPLL代码包

..........\Dict.mat,503383,2014-07-10
..........\EPLL.pdf,313693,2016-03-04
..........\EpllSparsePrior.m,4280,2016-03-04

..........\Script.m,677,2016-03-04
..........\TestImage.mat,615672,2015-01-10

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图相多描述编码matlab仿真多描述编码的matlab仿真，本科生的毕业设计生成图像后计算psnr >> J=imread( 两描述都收到后重建的图像.bmp ) PSNR(I,J) ans = 32.3290 >> J=imread( 描述1重建后的图像.bmp ) >> PSNR(I,J) ans = 28.7011 >> J=imread( 描述2重建后的图像.bmp ) >> PSNR(I,J) ans = 29.1467 (Figure phase multiple description coding matlab simulation Matlab simulation of multiple description coding, undergraduate graduation design Generated images calculated psnr >> J = imread ( the reconstructed image after the two descriptions are received. Bmp ) >> PSNR (I, J) ans = 32.3290 >> J = imread ( to describe a reconstruction of images. Bmp ) >> PSNR (I, J) ans = 28.7011 >> J = imread ( to describe two reconstruction images. Bmp ) >> PSNR (I, J) ans = 29.1467)

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