Transcript Image_Forgery_Detection_presentation_Baden_Letts

Baden Letts
Supervisor DR Jimmy Li
 Introduction
 Image
forgery problem
 Target
markets
 Image
forgery detection techniques
 My
project
 Conclusion
Image from article “Spies turn to High-Tec info ops” written by Daniel Verton
 More
advanced image manipulation
programs on the market making it harder to
detect image forgery
 It
is very hard to visually see if an image has
been altered
 More
 Very
computer literate people
simple to access image altering
programs
Has image forgery occurred on this picture?
Image from “detection of copy move forgery in digital images” J.Friditch, D.Soukal, and J. Lucas
Yes it has, this is the original image?
 Newspapers
 The
legal system (government)
 Publishers
 Private
use
Image forgery detection techniques can be
sorted into 5 different categories
 1)
Geometrical based techniques
 2)
Format based techniques
 3)
Camera based techniques
 4)
Physical based techniques
 5)
Pixel based techniques


This is the process of using projective geometry that
allow for refinement of planar surfaces. This allows for
the ability to check if an image has been altered by
comparing aspects of the image to known objects and
or the same objects in the image.
Image from “ Detecting image forgeries using geometrical cues” Lin Wu, Yang
 The
process of detecting statistical
correlations between lost information
during the compression and formatting
stage a digital image.
 Double
 JPEG
JPEG
blocking
 Exploits
artefacts added in by specific
camera characteristics
 Water
marking
 Camera
lens
 Camera
sensor
 Camera
on chip post processing
 Searches
for anomalies in the image in
relation between physical objects, light,
and the camera
 Light
Direction
 Light
environment
 The
process of comparing statistical
anomalies provided within the image
 Cloning
 Resampling
 Splicing
 Statistical
Image from “detection of copy move forgery in digital
images” J.Friditch, D.Soukal, and J. Lucas
 Initiate
a GUI (Graphical user interface)
 To
implement multiple forgery detection
technique programs
 This
project will be continued on for
future engineering students
 Completed
a large amount of background
research on image processing techniques
 Chosen
two different image forgery
techniques to implement Cloning and
Splicing
 Began
 Began
GUI design for the total project
implementation of “cloning
detection”
 It
is always possible to get around image
forgery programs as they all have
scenarios that they don’t cover.
 The
aim of this project is to cover as
many scenarios as possible to make it as
hard as possible for image forgery to
occur
 Any
questions




Farid, H., 2008. A Survey of Image Forgery Detection. [Online]
Available at: http://www.cs.albany.edu/~lsw/homepage/DIFS10_files/spm09.pdf
[Accessed 12 September 2012].
Fridrich, J. S. L., 2004. Detection of Copy-Move Forgery in Digital Images.
[Online]
Available at:
http://ws2.binghamton.edu/fridrich/Research/copymove.pdf
[Accessed 14 September 2012].
Johnson, M. K. F., 2007. Detecting Photographic Composites of People.
[Online]
Available at:
http://www.mit.edu/~kimo/publications/composite/iwdw07.pdf
[Accessed 14 September 2012].
Wu, L. W., 2010. Detecting Image Forgeries using Geometric Cues. [Online]
Available at: http://arxiv.org/ftp/arxiv/papers/1012/1012.3802.pdf
[Accessed 12 September 2012].