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Originally posted by funkster4
Originally posted by abeverage
While interpolation of data is a great technique in the course of trying to fill in information when data has been lost or corrupted, but to proving whether an object is being obfuscated it would be missing the point. It also might prove more contentious in dis-proving alien artifacts as the data is reconstructed artificially and may create a more artificial looking image.edit on 27-8-2013 by abeverage because: (no reason given)
Hi...
No, the data is not reconstructed artificially. It comes out simply from the agregation of weak signals (pertaining to true/objective data) contained in the two sources pictures. The details on the statue's throat are not created out of thin air. It is simply the result of the interpolation of data sets "a" and "c" that makes them visible in "b".
There is no creation of data here, simply a refining of the available information.
Originally posted by Onslaught2996
How can you make something out of nothing?
The statue is not a good example as the throat is there, it is just hidden behind the shadow..would you not have to just lighten it to see the throat? Is this not just what the program did?
As for the moon pics...it was hidden/smudged out(meaning there is no available information) ..so how can program decide what is there and what isn't? Guessing?
Now I will argue, from experience, that the more varied/the larger the datatabase, the more likely you are to reduce uncertainty/unkowns within a finite data set.
Originally posted by ZetaRediculian
reply to post by funkster4
Now I will argue, from experience, that the more varied/the larger the datatabase, the more likely you are to reduce uncertainty/unkowns within a finite data set.
Sounds good but it still seems like you are creating false data with this process. The statue example is one thing as we can all clearly see and agree on the results. However, the statue example is not the same process that you are using and the "Clementine Structure" is NOT a clear example of "de-blurring" something. To have actual credibility, you will have to demonstrate that your process will actually work. Show actual images where this process can be verified to uncover hidden details in photos.
regardless of how technical your explanation of your process is, there is just no way to verify that you "de-blurred" anything. Do you have any verifiable examples?
Originally posted by bigfatfurrytexan
reply to post by funkster4
The clementine images....notoriously infested with jpg artifact on many i have seen. What types of source files are you looking for to start with?
This is interesting, and would be something I could likely do.
Originally posted by abeverage
Originally posted by funkster4
Originally posted by abeverage
While interpolation of data is a great technique in the course of trying to fill in information when data has been lost or corrupted, but to proving whether an object is being obfuscated it would be missing the point. It also might prove more contentious in dis-proving alien artifacts as the data is reconstructed artificially and may create a more artificial looking image.edit on 27-8-2013 by abeverage because: (no reason given)
Hi...
No, the data is not reconstructed artificially. It comes out simply from the agregation of weak signals (pertaining to true/objective data) contained in the two sources pictures. The details on the statue's throat are not created out of thin air. It is simply the result of the interpolation of data sets "a" and "c" that makes them visible in "b".
There is no creation of data here, simply a refining of the available information.
Hi,
Having worked for the HP in photo imaging and printing, I thought I would give you the definition of Interpolation...
In the mathematical field of numerical analysis, interpolation is a method of constructing new data points within the range of a discrete set of known data points.
If Data is missing which is often the case in remote imagery interpolation most certainly does artificially create it because there is no data. Further if the area of an image is too small the data becomes useless as well because there are not enough points to extrapolate information. en.wikipedia.org...
Also after re-reading I have found what you have done is not Polynomial Texture Mapping en.wikipedia.org...
You must have multiple images with varying light sources, this allows for 3D rendering which also for the data points to be extrapolated. (I also do 3D graphics)... You did not do PTM...
That said this is a great way of cleaning up images and making them look complete when data is missing but I am still not entirely convinced its worth for disproving proving anomalies.
p.s. have you linked to that Turkey video? I would love to see what this does on video, but seeing how you used no PTM software and there is most likely no alternate image sources how would you have done this?edit on 27-8-2013 by abeverage because: Clarifications
Originally posted by funkster4
"Sounds good but it still seems like you are creating false data with this process"
I will have to ask you to expand a bit about how this could happen in your opinion...
The process used on the statue is identical to mine, with the difference, already explained in detail, that they use only one variable while I use several. And the technique can be used on digital phtographs, which is what I do.
" Show actual images where this process can be verified to uncover hidden details in photos."
Well, I'd thought I've just done that...
I would suggest, again, that you check Tom Malzbender whebsite to read, with your own eyes, how the HP team was able to bring out details from famous paintings that were later obliterated by the painter.
im pretty sure that's a steam engine.
Originally posted by Ectoplasm8
Quick crude adjustments of the original 'blurred' image using Fireworks MX. There's some similar information there. Just don't know how accurate.