- https://github.com/Benjamin-Loison
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2022-10-16 -
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Impossible de mettre à jour Messenger
Do not use analyze_fft_ellipses.py as it considers axes and here they are inpainted.
#print(f'{image.shape=}')
halfWidthPad = (image.shape[1] - image.shape[0]) // 2
image = image[:,halfWidthPad:-halfWidthPad]
#print(image.shape)
Correlation just gives between absolutely 0 and 1 if both signal match but may have the same correlation for a single image as for a whole dataset so can take into account the quantity to define…
Verify with a simple algorithm the pense of dots the earliest in the data pipeline to ensure that it is not an added artifact.
Based on PRNU_extraction/issues/8 it seems quite clear that we should not have no good prediction for one class. However, note that…
Translated with LibreTranslate from Google Doc Minutes:
In fact, what explains the difficulties in obtaining an interesting radial profile in the Fourier domain for the PRNU estimate is due…
How to remove circles? Related to #70.
To summarize based on Google Doc Minutes:
PRNU estimation:
PRNU estimation in Fourier domain:
![image](/attachments/f3438ea9-…
Automatically translated with LibreTranslate from Google Doc Minutes:
How to generate the FFTs with rays that were previously observed?…
Related to PRNU_extraction/issues/7.