pre-compiled matlab executable Search Results


pre-compiled matlab executable  (MathWorks Inc)
90
MathWorks Inc pre-compiled matlab executable
Pre Compiled Matlab Executable, 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
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Average 90 stars, based on 1 article reviews
pre-compiled matlab executable - by Bioz Stars, 2026-04
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executable (mex) function  (MathWorks Inc)
90
MathWorks Inc executable (mex) function
Executable (Mex) Function, 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/executable (mex) function/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
executable (mex) function - by Bioz Stars, 2026-04
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bm3d  (MathWorks Inc)
90
MathWorks Inc bm3d
Comparison of the proposed method with the <t> BM3D </t> method and PURE-LET in terms of PSNR (dB) for various low-count cases.
Bm3d, 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/bm3d/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
bm3d - by Bioz Stars, 2026-04
90/100 stars
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Image Search Results


Comparison of the proposed method with the BM3D method and PURE-LET in terms of PSNR (dB) for various low-count cases.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: Comparison of the proposed method with the BM3D method and PURE-LET in terms of PSNR (dB) for various low-count cases.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques: Comparison

(a) original image, (b) noisy image (7.48 dB), (c) BM3D (24.80 dB), (d) PURE-LET (24.68 dB), (e) the proposed method (24.72 dB).

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: (a) original image, (b) noisy image (7.48 dB), (c) BM3D (24.80 dB), (d) PURE-LET (24.68 dB), (e) the proposed method (24.72 dB).

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques:

(a) original image, (b) noisy image, (c) BM3D, (d) PURE-LET, (e) the proposed method.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: (a) original image, (b) noisy image, (c) BM3D, (d) PURE-LET, (e) the proposed method.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques:

(a) an average of 100 images used as the ground truth, (b) single acquisition image, (c) BM3D, (d) the proposed method.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: (a) an average of 100 images used as the ground truth, (b) single acquisition image, (c) BM3D, (d) the proposed method.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques:

Comparison of the proposed method with the BM3D method in terms of PSNR (dB) for each channel on the first set of HeLa cell images.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: Comparison of the proposed method with the BM3D method in terms of PSNR (dB) for each channel on the first set of HeLa cell images.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques: Comparison

First low: the second set of HeLa cell images with different laser intensities. (a) 0.2, (b) 0.4, (c) 0.8. Second low: denoising results on HeLa cell image with laser intensity 0.4. (d) an average of 40 images used as the ground truth, (e) BM3D, (f) the proposed method.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: First low: the second set of HeLa cell images with different laser intensities. (a) 0.2, (b) 0.4, (c) 0.8. Second low: denoising results on HeLa cell image with laser intensity 0.4. (d) an average of 40 images used as the ground truth, (e) BM3D, (f) the proposed method.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques:

Comparison of the proposed method with the BM3D method in terms of PSNR(dB) for various laser intensities on the second set of HeLa cell images.

Journal: PLoS ONE

Article Title: Poisson-Gaussian Noise Reduction Using the Hidden Markov Model in Contourlet Domain for Fluorescence Microscopy Images

doi: 10.1371/journal.pone.0136964

Figure Lengend Snippet: Comparison of the proposed method with the BM3D method in terms of PSNR(dB) for various laser intensities on the second set of HeLa cell images.

Article Snippet: To give the reader an indication of the typical computation times, for Cameraman (512x512) the various denoising methods require time approximately as follows: BM3D with GAT 2.5 s, UWT/BDCT PURE-LET 13.5 s, and the proposed method 10.2 s. The compared algorithms were implemented in MATLAB and BM3D is a pre-compiled execution file.

Techniques: Comparison, Modification