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matlab library r2020b  (MathWorks Inc)


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    MathWorks Inc matlab library r2020b
    Compare of PSNR results for proposed method and others on six images selected from different datasets.
    Matlab Library R2020b, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/matlab library r2020b/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    matlab library r2020b - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "A new approach for SPN removal: nearest value based mean filter"

    Article Title: A new approach for SPN removal: nearest value based mean filter

    Journal: PeerJ Computer Science

    doi: 10.7717/peerj-cs.1160

    Compare of PSNR results for proposed method and others on six images selected from different datasets.
    Figure Legend Snippet: Compare of PSNR results for proposed method and others on six images selected from different datasets.

    Techniques Used:

    Compare of IEF results for proposed method and others on six images selected from different datasets.
    Figure Legend Snippet: Compare of IEF results for proposed method and others on six images selected from different datasets.

    Techniques Used:

    Mean PSNR results for the 20 MATLAB library images with different SPN ratios.
    Figure Legend Snippet: Mean PSNR results for the 20 MATLAB library images with different SPN ratios.

    Techniques Used:

    Mean IEF results for the 20 MATLAB library images with different SPN ratios.
    Figure Legend Snippet: Mean IEF results for the 20 MATLAB library images with different SPN ratios.

    Techniques Used:

    Mean SSIM results for the 20 MATLAB library images with different SPN ratios.
    Figure Legend Snippet: Mean SSIM results for the 20 MATLAB library images with different SPN ratios.

    Techniques Used:

    Wilcoxon signed-rank test and Pearson correlation coefficient of the results obtained with 20 MATLAB library images. Decimal full values were used in the calculations.
    Figure Legend Snippet: Wilcoxon signed-rank test and Pearson correlation coefficient of the results obtained with 20 MATLAB library images. Decimal full values were used in the calculations.

    Techniques Used:

    Compare of SSIM results for proposed method and others on six images selected from different datasets.
    Figure Legend Snippet: Compare of SSIM results for proposed method and others on six images selected from different datasets.

    Techniques Used:



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    Image Search Results


    Compare of PSNR results for proposed method and others on six images selected from different datasets.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Compare of PSNR results for proposed method and others on six images selected from different datasets.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Compare of IEF results for proposed method and others on six images selected from different datasets.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Compare of IEF results for proposed method and others on six images selected from different datasets.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Mean PSNR results for the 20 MATLAB library images with different SPN ratios.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Mean PSNR results for the 20 MATLAB library images with different SPN ratios.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Mean IEF results for the 20 MATLAB library images with different SPN ratios.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Mean IEF results for the 20 MATLAB library images with different SPN ratios.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Mean SSIM results for the 20 MATLAB library images with different SPN ratios.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Mean SSIM results for the 20 MATLAB library images with different SPN ratios.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Wilcoxon signed-rank test and Pearson correlation coefficient of the results obtained with 20 MATLAB library images. Decimal full values were used in the calculations.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Wilcoxon signed-rank test and Pearson correlation coefficient of the results obtained with 20 MATLAB library images. Decimal full values were used in the calculations.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques:

    Compare of SSIM results for proposed method and others on six images selected from different datasets.

    Journal: PeerJ Computer Science

    Article Title: A new approach for SPN removal: nearest value based mean filter

    doi: 10.7717/peerj-cs.1160

    Figure Lengend Snippet: Compare of SSIM results for proposed method and others on six images selected from different datasets.

    Article Snippet: , micromarket \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{upgreek} \usepackage{mathrsfs} \setlength{\oddsidemargin}{-69pt} \begin{document} }{}$2,\!336 \times 3,\!504$\end{document} 2 , 336 × 3 , 504 MATLAB Library (R2020b) , AFMF , 37.67 , 35.74 , 34.03 , 32.50 , 31.04 , 29.59 , 28.10 , 26.39 , 21.15.

    Techniques: