Review



built-in function imnoise  (MathWorks Inc)


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    Structured Review

    MathWorks Inc built-in function imnoise
    The denoising results of Cameraman contaminated by Gaussian noise ( <t>\documentclass[12pt]{minimal}</t> \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.005$$\end{document} σ = 0.005 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.02$$\end{document} d = 0.02 ).
    Built In Function Imnoise, 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/built-in function imnoise/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    built-in function imnoise - by Bioz Stars, 2026-05
    90/100 stars

    Images

    1) Product Images from "A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm"

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    Journal: Scientific Reports

    doi: 10.1038/s41598-022-11938-7

    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.005$$\end{document} σ = 0.005 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.02$$\end{document} d = 0.02 ).
    Figure Legend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.005$$\end{document} σ = 0.005 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.02$$\end{document} d = 0.02 ).

    Techniques Used:

    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.01$$\end{document} σ = 0.01 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.03$$\end{document} d = 0.03 ).
    Figure Legend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.01$$\end{document} σ = 0.01 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.03$$\end{document} d = 0.03 ).

    Techniques Used:

    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.015$$\end{document} σ = 0.015 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.04$$\end{document} d = 0.04 ).
    Figure Legend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.015$$\end{document} σ = 0.015 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.04$$\end{document} d = 0.04 ).

    Techniques Used:

    The test of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_q$$\end{document} l q -norm nonconvex penalty functions with different q -values.
    Figure Legend Snippet: The test of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_q$$\end{document} l q -norm nonconvex penalty functions with different q -values.

    Techniques Used:

    PSNR for NTVL1 model with different penalty functions.
    Figure Legend Snippet: PSNR for NTVL1 model with different penalty functions.

    Techniques Used:

    PSNR and MSSIM for the test images.
    Figure Legend Snippet: PSNR and MSSIM for the test images.

    Techniques Used:

    The PSNR of the restored images in Set5.
    Figure Legend Snippet: The PSNR of the restored images in Set5.

    Techniques Used:

    The PSNR of the restored images in Set13.
    Figure Legend Snippet: The PSNR of the restored images in Set13.

    Techniques Used:



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    Image Search Results


    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.005$$\end{document} σ = 0.005 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.02$$\end{document} d = 0.02 ).

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.005$$\end{document} σ = 0.005 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.02$$\end{document} d = 0.02 ).

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.01$$\end{document} σ = 0.01 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.03$$\end{document} d = 0.03 ).

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.01$$\end{document} σ = 0.01 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.03$$\end{document} d = 0.03 ).

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.015$$\end{document} σ = 0.015 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.04$$\end{document} d = 0.04 ).

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The denoising results of Cameraman contaminated by Gaussian noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma = 0.015$$\end{document} σ = 0.015 ) and salt and pepper noise ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$d=0.04$$\end{document} d = 0.04 ).

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    The test of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_q$$\end{document} l q -norm nonconvex penalty functions with different q -values.

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The test of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$l_q$$\end{document} l q -norm nonconvex penalty functions with different q -values.

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    PSNR for NTVL1 model with different penalty functions.

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: PSNR for NTVL1 model with different penalty functions.

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    PSNR and MSSIM for the test images.

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: PSNR and MSSIM for the test images.

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    The PSNR of the restored images in Set5.

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The PSNR of the restored images in Set5.

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques:

    The PSNR of the restored images in Set13.

    Journal: Scientific Reports

    Article Title: A nonconvex \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hbox{TV}_q-l_1$$\end{document} TV q - l 1 regularization model and the ADMM based algorithm

    doi: 10.1038/s41598-022-11938-7

    Figure Lengend Snippet: The PSNR of the restored images in Set13.

    Article Snippet: We use Matlab built-in function \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$imnoise$$\end{document} imnoise twice to add the mixed noises.

    Techniques: