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Update On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation annotations

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articles/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation/On the Sensor Pattern Noise Estimation in Image Forensics: A Systematic Empirical Evaluation.xopp.xml
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<text font="Sans" size="11.00000000" x="200.71378408" y="436.49640708" color="#00c0ffff" ts="0" fn="">how determine
gamma parameters?
why face noise and strong enough to be visible?</text>
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<text font="Sans" size="11.00000000" x="1.17495951" y="474.84644013" color="#00c0ffff" ts="0" fn="">understand
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these
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<text font="Sans" size="11.00000000" x="2.68140122" y="112.87304289" color="#00c0ffff" ts="0" fn="">seems
to make
sense</text>
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<text font="Sans" size="11.00000000" x="1.84522127" y="203.75976307" color="#00c0ffff" ts="0" fn="">seems
to make
sense</text>
<text font="Sans" size="11.00000000" x="1.31761076" y="247.77926006" color="#00c0ffff" ts="0" fn="">while intraclass does not have this issue we need interclass not to have trivial procedure</text>
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<text font="Sans" size="11.00000000" x="63.60591636" y="314.89889884" color="#00c0ffff" ts="0" fn="">?</text>
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<text font="Sans" size="11.00000000" x="64.32842380" y="708.06150550" color="#00c0ffff" ts="0" fn="">can be negative?</text>
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<text font="Sans" size="11.00000000" x="41.57908965" y="423.45585534" color="#00c0ffff" ts="0" fn="">?</text>
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<stroke tool="highlighter" color="#ffff007f" width="8.50000000" fill="128">54.63587931 433.88533275 229.55898995 433.88533275</stroke>
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<text font="Sans" size="11.00000000" x="68.38986655" y="496.89431578" color="#00c0ffff" ts="0" fn="">?</text>
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<text font="Sans" size="11.00000000" x="42.20036200" y="742.54682711" color="#00c0ffff" ts="0" fn="">seem to plot for 40 images, 20 in each class</text>
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<stroke tool="highlighter" color="#00c0ff7f" width="8.50000000" fill="128">50.70449101 524.42620172 135.41360093 524.42620172</stroke>
<text font="Sans" size="11.00000000" x="300.94355315" y="504.38953244" color="#00c0ffff" ts="0" fn="">that are?</text>
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<text font="Sans" size="11.00000000" x="121.39086372" y="558.02659992" color="#00c0ffff" ts="0" fn="">?</text>
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<text font="Sans" size="11.00000000" x="317.74512361" y="35.64607491" color="#00c0ffff" ts="0" fn="">also unclear</text>
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<text font="Sans" size="11.00000000" x="311.47034543" y="556.99973446" color="#00c0ffff" ts="0" fn="">Bayer filter impact?</text>
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<text font="Sans" size="11.00000000" x="304.94049399" y="603.36032895" color="#00c0ffff" ts="0" fn="">as most green in Bayer filter?</text>
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<text font="Sans" size="11.00000000" x="388.51912483" y="211.22905054" color="#00c0ffff" ts="0" fn="">=12&#xB2;</text>
<text font="Sans" size="11.00000000" x="342.59291294" y="222.82556994" color="#00c0ffff" ts="0" fn="">so at least 12*64 = 768 so 768x768 resolution</text>
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<text font="Sans" size="11.00000000" x="301.77835545" y="257.82365035" color="#00c0ffff" ts="0" fn="">note that doing so multiply dataset size by 144 but have
to pay attention to compare only same location sub-images</text>
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<text font="Sans" size="11.00000000" x="304.31756846" y="281.31565229" color="#00c0ffff" ts="0" fn="">why such batch?</text>
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<text font="Sans" size="11.00000000" x="140.31114069" y="291.29019562" color="#00c0ffff" ts="0" fn="">model seems to mean instance</text>
<text font="Sans" size="11.00000000" x="1.86082297" y="304.75357574" color="#00c0ffff" ts="0" fn="">sem to
introduce
scalar for measuring
0: distinct
classes
1: identical class</text>
<text font="Sans" size="11.00000000" x="3.06853523" y="281.48577010" color="#00c0ffff" ts="0" fn="">so do not measure between inter models even if easier?</text>
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<text font="Sans" size="11.00000000" x="314.47050059" y="361.77461530" color="#00c0ffff" ts="0" fn="">and we compare the same subimage location, right?</text>
<text font="Sans" size="11.00000000" x="318.97948306" y="443.26887095" color="#00c0ffff" ts="0" fn="">figure to illustrate would be nice
should not remove unique cameras, otherwise
there is a same camera bias, no? As it was
described</text>
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<text font="Sans" size="11.00000000" x="312.48430804" y="732.81976976" color="#00c0ffff" ts="0" fn="">if it was black, then would be multiplying by 0
seems correct, as we speak about average signal,
hence there is no other noise
unsure why a white Gaussian</text>
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