vst+bm3d matlab software  (MathWorks Inc)

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: BM3D flow chart.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques:

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: The denoising results at each stage of BM3D.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques:

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: The comparison of denoising results between BM3D and the proposed.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques: Comparison

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: The comparison of denoised images between BM3D and the proposed ( \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\sigma }^{2}=35$$\end{document} σ 2 = 35 , The left is the noise image, the middle is the BM3D denoised image, and the right is the denoised image of the proposed method) ( a ) couple ( b ) Boat ( c ) House ( d ) Toy Vehicle.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques: Comparison

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: Denoising results of various methods.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques:

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: The results of various denoising methods. ( a ) Boat (σ 2 = 25) ( b ) house (σ 2 = 30) ( c ) Couple (σ 2 = 35). From left to right and top to bottom are noise image, NCSR, MCWNNM, QM-based, TWSC, NLH, BM3D and the proposed method respectively.

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques:

Journal: Scientific Reports

Article Title: Blind-noise image denoising with block-matching domain transformation filtering and improved guided filtering

doi: 10.1038/s41598-022-20578-w

Figure Lengend Snippet: Running time of various denoising methods (s).

Article Snippet: , \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\sigma^{2} = 25$$\end{document} σ 2 = 25 , BM3D , Basic estimation , Accuracy , 22.7 , 23.74 , 22.14 , 23.7 , 20.85.

Techniques: