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Authentication or detection of forgeries on JPEG images plays an important role in image forensics.
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In multimedia forensics, the detection of forgery on joint photographic experts group (JPEG) images is an interesting and challenging work.
Hence, considerable research has been undertaken for addressing the detection of image forgeries using different types of features [1, 2].
The dating of an object by the study of radioactive decay of carbon-14 has had little application in the detection of art forgery because of the large quantities of material that must be destroyed.
In image authentication, there are basically two main objectives: (i) the verification of the image ownership and (ii) the detection of any forgery of the original data.
This was corrected by Francis Hereward Edmunds, MA, FGS (1893 1960), who recognised it as a 50 ft terrace, but this determination was largely ignored until the detection of the forgery in 1953.
Over time the vast majority of forgeries are detected.
However, the majority of forgery detection algorithms assume that they know the color filter array pattern.
Thus, the unmasking of forgeries could lead to suspicions about every relic of the past.
A newly discovered type of art inevitably brings on a flood of forgeries.
The supply and distribution of forgeries is maddeningly complex.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com