This project addresses authenticity and integrity of medical images using watermarking. Watermarking can be seen as an additional tool for security measures. As the medical tradition is very strict with the quality of biomedical images, the watermarking method must be reversible or if not, region of Interest (ROI) needs to be defined and left intact. Watermarking should also serve as an integrity control and should be able to authenticate the medical image.

1. Digital
Watermarking Of
Medical Images
(Project Presentation)
Archana Rana(0809110016)
Prashant Singh(0809110050)
Rahul Chaudhary(0809110054)
Ravi.K.Jaiswal(0809110059)

2.  Electronic trasnfer of sensitive data.
 Need for security.
 One of the option is Digital Watermarking.
 What is Digital Watermarking ?
- A digital watermark is a digital signal or pattern inserted into a digital
document such as text, graphics or multimedia, and carries information unique to
the copyright owner, the creator of the document or the authorized consumer.
Introduction

3. Based on visibility of watermarks
Based on the content to be watermarked
Based on different image domains
Digital Watermark Classification

4. Example: 1. Visible Watermark

5. 2. Invisible Watermark

6. ISSUES
(i) Confidentiality - Access only to the authorised user.
(ii) Reliability which focuses on two main aspects:
a) Integrity - untampered and true data.
b) Authentication – Recieved from an authenticated
sender i.e. Unmodified image.

7.  To facilitate sharing and remote handling of medical
images in a secure manner.
 To provide a Lossless Watermarking method.
Motivation

8. Three main objectives of watermarking in the medical
domain are :
 Information embedding without distorting the image.
 Minimum perceptual degradation.
 Information extraction without any loss.
This would ultimately lead to Protecting medical images
with watermarking.
Objective

9. Literature study and survey of the state of art technology.
Design , implement and test
a) Capacity Selection in DCT and spatial domain
b) Capacity Specification in DCT and spatial domain
c) - Watermark Embedding (Encoding) in DCT and spatial domain
d) -Watermark Extraction (Decoding) in DCT and spatial domain
Design and implementation of graphical user interface
Coding of each modules and testing
Integration all the modules with Graphical user interface and testing.
Scope

10. Basic Architecture :

11. 1. Region Characterisation.
2. Watermarking method selection.
3. Watermark Embedding.
4. Watermark Extraction.
System Design:

12. 1. Region Charaterisation
 We divide the host image into blocks of size 8X8.
 SD is calculated for each block and are categorised
into specific four region according to the following table:

13. 2. Watermarking method selection
 According to the region categorisation done above,
watermarking along with the payload capacity is selected
from the following table:

14. 3. Watermark Embedding
 Each block is watermarked with the selected
watermarking method.
 The four watermarking methods are:
1. DCT-1 bit.
2. DCT-2 bit.
3. LSB-1 bit.
4. LSB-2 bit.

15. LSB

16. DCT

17. DCT
 Bringing an image into DCT domain

18. 4. Watermark Extraction
 Same as above we use the selection table to categorise the blocks of
watermarked image into the regions and the extraction is performed
using the extraction algorithms for the above embedding methods.

19. Snapshots: 1. Home Screen

20. 2. View with the Input

21. 3. Output

22. We have been able to develop an effective system for
watermarking a medical image without any loss of
data.
Conclusion
Future Directions
 Increase the hiding capacity.
 Increasing the robustness.
 Optimization.

23. 1. Janani Natarajan, Vijay R. Rathod, “Medical Image
Watermarking Using a Perceptual Similarity Metric”, MIT
International journal of Electrical and Instrumentation
Engineering Vol- 1, No. 1, pp. 29-34, Jan(2011)
2 . Shinfeng D. Lin, Chin-Feng Chen, “A robust DCT-based
watermarking for copyright protection”, IEEE Trans.
Consumer Electron. 46 (issue 3) (oct 2000)pages 415–421.
Wikipedia.
Refrences