Digital image forensics
We live in an age where the use of digital photography has increased over the past few years due to the existence of Social Network Services like Facebook, Instagram, Twitter, etc., a trend that pav...
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| Main Author: | |
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| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
2013
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/51883 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | We
live
in
an
age
where
the
use
of
digital
photography
has
increased
over
the
past
few
years
due
to
the
existence
of
Social
Network
Services
like
Facebook,
Instagram,
Twitter,
etc.,
a
trend
that
paves
the
way
for
fresh
and
creative
methods
to
forge
an
image
for
a
make
believe
and
gain
favorable
impressions.
The
tampering
of
images
through
forgery
influences
the
perception
an
observer
has
of
the
depicted
scene,
potentially
resulting
in
ill
consequences
if
created
with
malicious
intentions.
This
problem
poses
a
need
to
verify
the
authenticity
of
images
originating
from
unknown
sources.
This
project
serves
to
conduct
an
experimental
investigation
using
a
series
of
designed
methodologies
and
algorithms
like
SIFT
(Scale
Invariant
Features
Transform),
RANSAC
(Random
Sample
Consensus)
to
identify
a
digital
image
forgery
called
copy-‐move
forgery.
As
the
name
suggests,
this
forgery
is
executed
by
copying
an
area
of
an
image
pasted
onto
another
zone
to
create
duplication
or
to
cancel
something
that
was
not
needed.
By
applying
such
methods
and
algorithms,
we
are
able
to
tell
whether
a
copy-‐move
attack
has
occurred
and
furthermore,
to
recover
the
geometric
transformation
used
to
perform
cloning.
The
results
and
performances
of
the
implementation
will
be
described
in
the
later
part
of
this
report. |
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