built-in function imnoise (MathWorks Inc)
Structured Review
![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 ).](https://pub-med-central-images-cdn.bioz.com/pub_med_central_ids_ending_with_6681/pmc09106681/pmc09106681__41598_2022_11938_Fig7_HTML.jpg)
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
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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
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 ).
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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 ).
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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 ).
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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.
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Figure Legend Snippet: PSNR for NTVL1 model with different penalty functions.
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Figure Legend Snippet: PSNR and MSSIM for the test images.
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Figure Legend Snippet: The PSNR of the restored images in Set5.
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Figure Legend Snippet: The PSNR of the restored images in Set13.
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