Maybe we can call it the "leopard effect" That
Post# of 13555
(Total Views: 101)
Posted On: 04/17/2024 2:12:25 PM
Maybe we can call it the "leopard effect"
The big mistake here is when you think you're the smartest person in the room. I hope for your sake you didn't know the photo (figures observing outside of Elba, AL loading dock doors), posted on twitter, on January 21, 2024, appears to have been altered to NOT include the 2 gentlemen standing in front of the maestro and his tag-along. The same, seemingly, doctored photo (washed out), was used in the LindkedIn post, but INCLUDES 2 random people inserted into the same photo inside the same washed out area that was doctored up in the twitter photo. There must be a reason why the 2 random people (other people?) were not wanted to be shown in this January 21, 2024 twitter photo? So, why was it, seemingly, ok (or needed) to be shown in the same photo shown in the LinkedIn post?
The top advantage of this technique is that you don’t need to have a deep understanding of image forensics or metadata analysis to use it.
JPEG quality settings and JPEG resolution settings
JPEG JFIF markers
Huffman tables
RGB histograms
JPEG images strings extraction
Quantization table matrix
Noise Analysis
Makernotes, and much more
Let's leave it at that.
Playing cop, at a time like this, may not be in your best interest.
in my opinion
cheers
Quote:
That a powerful accusation to make with out proof.
The big mistake here is when you think you're the smartest person in the room. I hope for your sake you didn't know the photo (figures observing outside of Elba, AL loading dock doors), posted on twitter, on January 21, 2024, appears to have been altered to NOT include the 2 gentlemen standing in front of the maestro and his tag-along. The same, seemingly, doctored photo (washed out), was used in the LindkedIn post, but INCLUDES 2 random people inserted into the same photo inside the same washed out area that was doctored up in the twitter photo. There must be a reason why the 2 random people (other people?) were not wanted to be shown in this January 21, 2024 twitter photo? So, why was it, seemingly, ok (or needed) to be shown in the same photo shown in the LinkedIn post?
The top advantage of this technique is that you don’t need to have a deep understanding of image forensics or metadata analysis to use it.
JPEG quality settings and JPEG resolution settings
JPEG JFIF markers
Huffman tables
RGB histograms
JPEG images strings extraction
Quantization table matrix
Noise Analysis
Makernotes, and much more
Let's leave it at that.
Playing cop, at a time like this, may not be in your best interest.
in my opinion
cheers
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