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[Special EffectsWPSNR

Description: 能计算一幅噪声图像的加权峰值信噪比,以评价各种图像去噪方法的效果
Platform: | Size: 1620 | Author: zgming | Hits:

[Special EffectsWPSNR

Description: 能计算一幅噪声图像的加权峰值信噪比,以评价各种图像去噪方法的效果-Can calculate an image of the weighted noise PSNR to evaluate the effect of image denoising methods
Platform: | Size: 1024 | Author: zgming | Hits:

[Graph programWpsnr

Description: 采用HVS的图像相似度准则计算WPSNR -The use of HVS image similarity criteria WPSNR
Platform: | Size: 2048 | Author: zk | Hits:

[matlabWPSNR

Description: computes WPSNR (weighted peak signal-to-noise ratio) between two images in decibels (dB).
Platform: | Size: 5120 | Author: mohmmed omar | Hits:

[Industry researchwpsnr

Description: 基于人眼系统的(hvs)图像质量评估算法-NO reference image quality assessment
Platform: | Size: 1024 | Author: liu dl | Hits:

[matlab40763768WPSNR

Description: WPSNR: Weight Peak Signal to Noise Ratio-WPSNR: Weight Peak Signal to Noise Ratio
Platform: | Size: 2048 | Author: MNM | Hits:

[Special EffectsSSIM-PSNR-WPSNR-MSE-Image-quality

Description: 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).
Platform: | Size: 2048 | Author: 柴江松 | Hits:

[GDI-BitmapWpsnr2

Description: 图像质量评价方法-Wpsnr 采用HVS的图像相似度准则计算WPSNR 下面的MATLAB程序计算两幅图像的加权峰值信噪比。相比常用的PSNR而言,考虑到HVS(human visual sytem)的影响。-Image quality uation method of image-Wpsnr similarity criteria using HVS computing program MATLAB WPSNR below the weighted peak signal to noise ratio of the two images. Compared to conventional PSNR, given the impact of HVS (human visual sytem) a.
Platform: | Size: 2048 | Author: Jany Green | Hits:

[Graph programWPSNR

Description: 计算信噪比的测试程序代码,利用对比敏感度函数(CSF)测量失真图像的空间频率。(Calculation of the test code SNR, the contrast sensitivity function (CSF) measurement of the spatial frequency of image distortion.)
Platform: | Size: 1024 | Author: 意之流连 | Hits:

[Algorithmwpsnr.m

Description: This function displays the PSNR (peak signal-to-noise ratio) between two images. The answer is in decibels (dB). PSNR is very common in image processing. A sample use is in the comparison between an original image and a coded/decoded image. Typical quoted PSNR figures are in the range +25 to +35dB. The syntax for this file is PSNR(A,B), where A and B are MATLAB Intensity Images, with matrix-elements in the interval [0,1] The function can be adapted for images with 256 gray levels.
Platform: | Size: 1024 | Author: yokiqust | Hits:

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