Under the Guidance of

Mrs. A. Krishna Kumari

ByMD Arif Ahmed

M.Tech, ECE12H66D7007

Date of Approval of PRC : 20/03/2014

Accuracy Detection using Different Orthogonal Transforms in Optical

Watermarking Technique

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

Optical Watermarking

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.

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

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

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.

Extract Watermarking

 

Painting/ Human Face

Project Watermark

PatternInverse

transform

Calculate Accuracy

Ratio

 

Painting taken with camera

Watermarked Images

Vary for diff HC Values

BLOCK DIAGRAM

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

Conclude

 

Divide image into N*N Pixel Blocks

 

Flow Chart:

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

THANK YOU….