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Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#21 2024-03-26 11:58:20 +01:00
Estimating PRNU on Gaussian noise images

What is the next step?

ccb2b4bd86 #21: Write PRNU as such to make figures clearer
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#23 2024-03-26 03:14:15 +01:00
Keep a copy of this repository on another device

Also pay attention to keep a recent copy of this repository all time long, as I do not have a local copy of meta-git stuff (issues etc).

cfe718da7d Make x-axis logarithmic
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#11 2024-03-26 02:28:42 +01:00
How to deal with multiple color channels?

Maybe just consider like 3 different images, as I have done in the following issue for technical reasons:

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hF4DTQa9Wom5MBgSAQdAHfQY22zk3mugV0u5U8J+0t1+k8qw7FEv…
Keep a copy of this repository on another device
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#21 2024-03-26 02:03:00 +01:00
Estimating PRNU on Gaussian noise images

rms_between_actual_prnu_and_the_mean_of_the_first_n_images_with_prnu

plt.yscale('log')
2bc13c5949 #21: Make a RMS curve depending on the number of images considered for the mean
c2862eaf43 #21: Incorrect mean, as it is a RMS mean, not a mean of images
f181a3498c Correct Image wuthout PRNU rendering and precise that it is the first image
03f52a5bd1 Finish Matplotlib figure showing PRNU estimation by averaging
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