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The image is contaminated by the additive Gaussian noise with 10dB standard deviation. (The original Cameraman image in our paper is taken from Fig 1 in published by PLOS one, which is licensed under the Creative Commons Attribution International License (CC BY 4.0). KNN graph is visualized through the <t>Matlab</t> software).
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The image is contaminated by the additive Gaussian noise with 10dB standard deviation. (The original Cameraman image in our paper is taken from Fig 1 in published by PLOS one, which is licensed under the Creative Commons Attribution International License (CC BY 4.0). KNN graph is visualized through the Matlab software).

Journal: PLoS ONE

Article Title: Image denoising via a non-local patch graph total variation

doi: 10.1371/journal.pone.0226067

Figure Lengend Snippet: The image is contaminated by the additive Gaussian noise with 10dB standard deviation. (The original Cameraman image in our paper is taken from Fig 1 in published by PLOS one, which is licensed under the Creative Commons Attribution International License (CC BY 4.0). KNN graph is visualized through the Matlab software).

Article Snippet: Tests have been conducted using Graph Signal Processing MATLAB toolbox (GSPBox) on a PC with an Intel 4.0 GHz CPU and 16 GB of memory.

Techniques: Standard Deviation, Software