Photography has been approval its value as documentary of truth since its
birth. people usually put faith in photography as a fact when they receive it. It
means that photography concerned on a certain circumstance archives as a clear
record of truth. The faith of photography has been threatened since the digital
imaging era began. Easily manageable imaging softwares enable to retouch and
compose photographs which are not taken simultaneously, therefore images can be
reproducible. This can be worthy in art area as a creative work, on the other
hand photography as a true record recognizes that can be confusing. As more
people strongly believe in photography as a truth, more people try to distort the
truth. Specially, the machinery of law and state organization confront that digital
imaging system adjusts practical affairs at once. For this reason, some area admit
analog photographs as the original, and the others do not accept digital images.
This temporary expedient ignores realities completely which digital images can be
an analog film through a certain process. Therefore, we need a standard to do
right according to its purposes, but in reality, We do not have an objective standard
to judge forgery photographs. This study arranges the objective analysis method.
As results, when digital imaging goes to forgery and composition, the main problem
is the control of size, and we focus on the interpolation to adjust imaging size. To
solve this problem, it compare and analyze changed digital imaging informations by
the 1st and 2nd interpolations in Adobe Photoshop. based on this, we suggest the
algorism to recognize the 2nd interpolation.
Synthetically, to distinguish digital image forgery and composition, the
interpolation, not absolutely, is the important factor and the proposed algorism is
useful to distinguish digital imaging composition.
Photography has been approval its value as documentary of truth since its
birth. people usually put faith in photography as a fact when they receive it. It
means that photography concerned on a certain circumstance archives as a clear
record of truth. The faith of photography has been threatened since the digital
imaging era began. Easily manageable imaging softwares enable to retouch and
compose photographs which are not taken simultaneously, therefore images can be
reproducible. This can be worthy in art area as a creative work, on the other
hand photography as a true record recognizes that can be confusing. As more
people strongly believe in photography as a truth, more people try to distort the
truth. Specially, the machinery of law and state organization confront that digital
imaging system adjusts practical affairs at once. For this reason, some area admit
analog photographs as the original, and the others do not accept digital images.
This temporary expedient ignores realities completely which digital images can be
an analog film through a certain process. Therefore, we need a standard to do
right according to its purposes, but in reality, We do not have an objective standard
to judge forgery photographs. This study arranges the objective analysis method.
As results, when digital imaging goes to forgery and composition, the main problem
is the control of size, and we focus on the interpolation to adjust imaging size. To
solve this problem, it compare and analyze changed digital imaging informations by
the 1st and 2nd interpolations in Adobe Photoshop. based on this, we suggest the
algorism to recognize the 2nd interpolation.
Synthetically, to distinguish digital image forgery and composition, the
interpolation, not absolutely, is the important factor and the proposed algorism is
useful to distinguish digital imaging composition.