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d271b502fa Add articles/Pixel binning - Wikipedia/
Upload somehow initial internship offer?
Add a README.md
658aa34600 Add articles/Self-supervised learning - Wikipedia
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#24 2024-04-05 11:33:10 +02:00
Make execution reproducible

WebArchive issue for 4d267bf540/articles/Positional%20…

4d267bf540 Add articles/Positional Learning Quentin Bammey/
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#30 2024-04-04 12:21:46 +02:00
Estimate PRNU of devices on actual dataset and evaluate our method 
cut -d ',' -f 66 RAISE_all.csv
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#33 2024-04-04 11:59:40 +02:00
Is img_as_float more precise than .convert('F')

Seems to have possibly interesting PRNU pattern:

606821d45e Add show_mean_noise.py
Does not 256 precision per channel is too weak to determine the PRNU even with multiple images?
Benjamin_Loison pushed to master at Benjamin_Loison/Linguee_webscraper 2024-04-03 19:52:11 +02:00
7cffb7e37a Make connection more reliable
0e871cf913 Assume that actual entries are prefered by Linguee
Compare 2 commits »
b354f59ac5 Make parallel production ready
0f394faa61 Multicores prototype
faed1e33e8 #33: Add datasets/raise/extract_noise.py
Compare 3 commits »
Is img_as_float more precise than .convert('F')
4dd52aae90 Use plt.imsave instead of toPilImage
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#32 2024-04-03 16:53:38 +02:00
Is imagePrnuEstimateNpArray = imageNpArray - denoise_tv_chambolle correct?

Our current imagePrnuEstimateNpArray = imageNpArray - denoise_tv_chambolle, see:

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Is imagePrnuEstimateNpArray = imageNpArray - denoise_tv_chambolle correct?
Is imagePrnuEstimateNpArray = imageNpArray - denoise_tv_chambolle correct?
d3af12ce3e Try to have clear figure for thesis audition
Benjamin_Loison commented on issue Benjamin_Loison/Robust_image_source_identifica…#31 2024-04-03 15:13:51 +02:00
Given device split into two groups and compare both estimated PRNUs and how they evolved when consider more and more images to estimate them within each group

Should print a 2D figure with the evolving PRNU (with all images for instance) with for each x value a representation of the distribution of PRNU pixel values to see if the PRNU does not converge…