Digital Watermarking Of Medical Images(Project Presentation)

Archana Rana(0809110016) Prashant Singh(0809110050)

Rahul Chaudhary(0809110054) Ravi.K.Jaiswal(0809110059)

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

Based on visibility of watermarks

Based on the content to be watermarked

Based on different image domains

Digital Watermark Classification

Example: 1. Visible Watermark

2. Invisible Watermark

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.

To facilitate sharing and remote handling of medical images in a secure manner.

To provide a Lossless Watermarking method.

Motivation

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

  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

Basic Architecture :

1. Region Characterisation.

2. Watermarking method selection.

3. Watermark Embedding.

4. Watermark Extraction.

System Design:

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:

2. Watermarking method selection

According to the region categorisation done above, watermarking along with the payload capacity is selected from the following table:

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.

LSB

DCT

DCT

Bringing an image into DCT domain

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.

Snapshots: 1. Home Screen

2. View with the Input

3. Output

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.

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