The document presents a study on region duplication forgery detection in digital images, outlining the process of image forgery and methods for detecting it, such as copy-move forgery. It provides a literature survey of several papers detailing different algorithms and techniques, including their comparisons and applications in fields like medical imaging and legal documentation. The presentation concludes with future directions for improving detection accuracy using advanced techniques.

1. Region Duplication Forgery Detection in Digital
Images
By
Rupesh Ambatwad
Presentation
on
1

2. Outline
 Introduction
 Literature Survey
 Algorithms & Techniques
 Comparisons
 Applications
 References
2

3. Introduction(1/3)
What is image Forgery
 Image forgery is process of counterfeiting image
visual content using the various different image
editing tools.
Region Duplication Forgery
 In copy-move forgery one or more part of image is
copied & pasted over another part in similar image
3

4. Introduction(2/3)
Example
4Figure-1 . Region Duplication Forgery

5. Introduction(3/3)
Figure 2.-Image Authentication Techniques[6]
5

6. Literature survey
Year Paper Name Authors Published At
January
2017
Region duplication detection
using color histogram and
moments in digital image
Ashwini V.
Malviya,
Siddharth
Ladhake
ICICT(IEEE)
January
2017
Copy-Move Forgery Detection
Using Segmentation
Bhavya Bhanu
,Dr. Arun Kumar
ISCO(IEEE)
April
2016
A New Block-based Copy-Move
Forgery Detection Method in
Digital Images
Hajar Moradi-
Gharghani and
Mehdi Nasri
ICCSP(IEEE)
April
2015
Region Duplication Forgery
Detection in Digital Images
Using 2D-DWT and SVD
Varsha
Sanap,Vanita
Mane
iCATccT(IEEE)
27 Feb
2013
Efficient image duplicated region
detection model using sequential
block clustering
Mohammad
Akbarpour,
Mohd. Aizaini
ELSEVIER
6

7. Paper 1: Region duplication detection using color
histogram and moments in digital image[1]
Figure3. Proposed Algorithm
7

8. Image Segmentation
Input image
Matching Stage
Displaying Detected
CMF Regions
Inliers Estimation
Patch Matching
Feature Extraction
Detection Result
Figure-4. Flowchart of proposed method 8
Paper 2:Copy-Move Forgery Detection Using
Segmentation[2]
Final Stage

9. Divide into
overlapping
block
Threshold
Parameters
Input image
Applying 2-D
DCT &
Quantization
Extracting
feature(SVD)
Remove
Distributed
Matching
Output image
Figure-5 . Forgery detection process 9
Lexicographicall
y ordering
Paper 3: A New Block-based Copy-Move Forgery
Detection Method in Digital Images[3]

10. 10
Forgery Org.
Image
Performance
Measurement
Hit Rate
Extract R,G,B
Channel
Apply 2D-DWT
Apply Block
Processing
Candidate Block
Selection
Apply SVD on Each
block
Forged Block
Detection
FDRMiss Rate
Figure-6 . Proposed Algorithm
Paper 4: Region Duplication Forgery detection in
Digital Images Using 2D-DWT and SVD[4]

11. Figure-7 . Flowchart
11
Paper 5:Efficient image duplicated region detection
model using sequential block clustering[5]

12. Comparisons
Papers Paper 1 Paper 2 Paper 3 Paper 4 Paper 5
Algorithm &
Techniques Used
HSV
Histogram
SLIC,KNN DCT, SVD 2D-DWT,
SVD
Euclidean
Distance
Dataset Used CoMoFoD ,
MICC-F
MICC-F600
Unknown
MICC-F220
MICC-F200 MICC-F220
Detection Basis Color
Moments &
Histogram
Segmentation. New Block
Based
2D-DWT
and SVD
based
Sequential
block
clustering
Accuracy
(0.6-1)
Correctly
Detected.
0.0024,
0.9976
0.4 Improved
26.7% for
227*191 img.
Performance Less intricate High DAR
Improves
Accurate Improved
time
complexity
Future Scope Region
Duplicate
with Splicing
Unknown Zernike
Moments
can be used
Selecting
Threshold
value varies
to image
Multilayer
Block
Matching

13. Applications
 Medical Imaging
13
•Banking

14.  Legal processing Documents
 News/Journalism
14
Applications

15. 15
Applications
• Crime Investigation

16. References
[1] Ashwini V. Malviya, Siddharth Ladhake ,”Region duplication detection using
color histogram and moments in digital image”,in ICICT(IEEE) ,January 2017.
[2] Bhavya Bhanu , Dr. Arun Kumar.”Copy-Move Forgery Detection Using
Segmentation”,in IEEE Tran. January 2017.
[3] Hajar Moradi-Gharghani and Mehdi Nasri ,”A New Block-based Copy-Move
Forgery Detection Method in Digital Images” in IEEE Tran.,April 2016.
[4]Vanita Manikrao Mane, Varsha Karbhari Sanap , ”Region Duplication Forgery
Detection in Digital Images Using 2D-DWT and SVD”, IEEE Trans. April 2015.
[5] Mohammad Akbarpour, Mohd. Aizaini ,”Efficient image duplicated region
detection model using sequential block clustering”, in ELSEVIER, Feb 2013
[6] Saba Mushtaq and Ajaz Hussain Mir,”Digital Image Forgeries and Passive Image
Authentication Techniques: A Survey”IEEE Tranct.2010.
16

17. Thank You..!
rupeshambatwad@gmail.com
17