PPT on, Optical Watermarking..and comparing transforming techniques for extracting embedded watermarked information..

1. Under the Guidance
of
Mrs. A. Krishna Kumari
By
MD Arif Ahmed
M.Tech, ECE
12H66D7007
Date of Approval of PRC : 20/03/2014

2. Base Paper: Optimization of Size of Pixel
Blocks for orthogonal Transform in Optical
Watermarking Technique
Reference Papers
 Journal of Electronic Imaging by Komori and Uehira:
Optical watermarking technology for protecting portrait
rights
 Y. Ishikawa, K. Uehira, and K. Yanaka, “Optical
watermarking technique robust to geometrical distortion in
image,” in Proc. ISSPIT2010, 2010, pp. 67–72.
 O. Matoba et al., “Optical techniques for information
security,” Proc. IEEE 97(6), 1128–1148 (2009).
 International Journal of Advanced Computer and
Mathematical Sciences ISSN 2230-9624. Vol 3, Issue 1,
2012, pp 194-204

4. OPTICAL WATERMARKING
 OW is also similar to DW, but the
difference is we use here light to embed the
data on the real image like famous
paintings, ancient monuments etc.

5. Operation/Transform Techniques
 Watermarked image is selected and its area
is divided into N*N Pixel Blocks
(4*4,8*8,16*16), Then Applying Inverse
Transform Techniques (DCT,WHT,HDWT)
 Now varying the DC values, Comparing the
extracting the embedded information

6. Problems in existing system
 DCT - Not robust against geometric attacks
 And
 Using Wavelet Transforms we have 4
issues
 Problem 1: Shift Variance
 Problem 2: Oscillations
 Problem 3: Aliasing
 Problem 4: Lack of Directionality

7. Proposed System
 With the problems by using Wavelet
transforms we go further with Complex
wavelet Transforms which can overcome
the above 4 issues
 We apply the Dual Tree Complex Wavelet
Transform to the optical watermarking
Technique and Comparing the result with
the other Transforms.

8. Extract
Watermarking
Painting/
Human Face
Project
Watermark
Pattern
Inverse
transform
Calculate
Accuracy
Ratio
Painting taken
with camera
Watermarked
Images
Vary for diff HC
Values

9. Start
Watermarked Image
4*4,8*8
16*16
Size
Apply Inverse
WHT
Extract the
watermark for
Diff HC Values
Compare
the
Accuracy
Extract the
watermark for
different HC
Values
Extract the
watermark for
Different HC
Values
Apply Inverse
DCT
Apply Dual
Tree Complex
Divide image into N*N
Pixel Blocks
Flow Chart:

10. Conclusion
 The Optical watermarking provides better
security than DW, to protect real images
like famous paintings, humans(celebrity),
famous sculptures etc and comparing with
the previous techniques