IPOL demo #80
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Reference: Benjamin_Loison/Robust_image_source_identification_on_modern_smartphones#80
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See PRNU_extraction.
Modified fork of template-python.
https://ipolcore.ipol.im/cp2/showDemo?demo_id=77777000503
Investigate
/home/mgardella/
:ponomarenko_v4/
PRNU/
PRNU-CompareTwoImages/
PRNU_enlimpio/
do not return any result.
https://ipolcore.ipol.im/cp2/showDemo?demo_id=77777000278
https://ipolcore.ipol.im/api/demoinfo/staticData/demoExtras/77777000278/PRNU_compare_two_images.zip
quarto
: https://quarto.org/docs/tools/jupyter-lab.htmlUnclear how
iPhone 8 plus
example is provided as there is no such occurrence in https://ipolcore.ipol.im/cp2/showDemo?demo_id=77777000278 and https://ipolcore.ipol.im/api/demoinfo/staticData/demoExtras/77777000278/PRNU_compare_two_images.zip.For IPOL practicing make a prototype of what we would like the demo to be but without the algorithm itself. Seems quite clear to me now.
Related to Improve_websites_thanks_to_open_source/issues/622.
DDL.json
:works fine, as with default parameters that are:
Denoiser
:Wavelet
Zero-meaning operation
:False
Wiener filtering
:False
Spectrum equalization
:False
I get an identical result on my demo (77777000503) as the one I am interested in (77777000278).
Related to PRNU_extraction/issues/7.