improved medical image encryption technology

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A Digital Watermarking Approach usingA Digital Watermarking Approach using FuzzyFuzzy LogicLogic

HAFNAS E.KHAFNAS E.K

ROLL NO : 18ROLL NO : 18

S7, AE&IS7, AE&I

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     Introduction

     Digital watermarking

     Basics

      Applications & Ideal features

     Prevailing techniques & Disadvantages

     New Techniques     Human Visual System(HVS) Model

     Fuzzy Inference System (FIS)

     Process Of Technique

     Watermark embedding Process

     Watermark Detection Process

     Validation

     Conclusion

     Reference

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DIGITAL WATERMARKINGDIGITAL WATERMARKING

What ?What ?      Describes methods and technologies that hide

information in number or text, in digital media

     Invisible watermarking

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DIGITAL WATERMARKINGDIGITAL WATERMARKING

ApplicationsApplications      Copyright protection

      Authentication and security

     Cryptoglyph.

     A new way to share data

     Medical Image Transmission

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DIGITAL WATERMARKINGDIGITAL WATERMARKING

Ideal FeaturesIdeal Features      Robustness

     Imperceptibility

     Security

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DIGITAL WATERMARKINGDIGITAL WATERMARKING Prevailing TechniquesPrevailing Techniques

LSB Watermarking

Colour Separation Technique

Bit Stream Watermarking

Word Space Coding, Line Space Coding &Character Coding

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DIGITAL WATERMARKINGDIGITAL WATERMARKING Prevailing TechniquesPrevailing Techniques

     Filtering

     Compression

      Additive noise

     Rotation

     Scaling

     Transformations

Cannot be used for Medical information protection

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These approaches are not robust against attacks such as

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DIGITAL WATERMARKINGDIGITAL WATERMARKING

For medical images the signature must be imperceptible

The watermarked image should be broadly similar to the

original image so as not to lead to a misdiagnosis.

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DIGITAL WATERMARKING USINGDIGITAL WATERMARKING USING

FUZZY INFERENCE SYSTEM & HVS MODEL

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DIGITAL WATERMARKINGDIGITAL WATERMARKING FIS & HVS MODELUSINGUSING

The Proposed System Consists of fuzzy inference system to

extract the knowledge of sensitivity of human eye usingthe HVS model.

The FIS and the HVS handsets are used to automatically

determine the insertion force in certain frequency

components without being visually perceptible.

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The Human visual system model (HVS) MODEL

To hide the watermark in the image, it is useful to exploit the

weaknesses of the human visual system

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The human visual system has been characterized with several Phenomena

that permit pixel element adjustments to elude perception.

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Fuzzy Inference System ( FIS )

We need an expert who knows what to do in all cases :

Increase the insertion force in less sensitive areas (areas textured)

Decrease the strength of integration in sensitive areas

(edges and homogeneous areas) ... etc.

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The problem is to automate these processesThe problem is to automate these processes

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Fuzzy Inference System ( FIS )

A popular computing Framework based on fuzzy set theory

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o Closeness To Human Perception And Reasoning

o Intuitive Handling And Simplicity

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Fuzzy Inference System ( FIS )

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Base fuzzy rules

If««««.........then

Inference motor 

Defuzzification

Fuzzification

Input Fuzzy

Fuzzy Output

Net Output

Net Input

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WATER MARKING EMBEDDING PROCESS

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To enhance the robustness against various image distortions

an insertion force  which must be below a threshold of visual perceptibility.

This force is not always consistent on all components of the watermark inserted

but depends on the characteristics of the zones of insertion (Textured, uniform..)

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WATER MARKING EMBEDDING PROCESS

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 x,y,k 

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WATER MARKING DETECTING PROCESS

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BLIND DETECTION PROCESS

Calculation of correlation

between M·(i) & M(i)

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Evaluation Of Performance

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 A promising technique for watermarking images.

 A Hybrid model , making most of the HVS & FIS systems

More Robust & Imperceptible

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REFERENCES Sameh Oueslati and Adnane Cherif and Bassel Solaiman ,(2010),´Maximising strength Of Digital

Watermarking´, S ignal & Image Processing : An International Journal( S IPIJ) Vol.1, No.2 , December 2010 

Darshana Mistry,(2010), ³Comparison of Digital Water Marking methods´, (IJC SE  ) International Journal on Computer S cience and E ngineering Vol. 02 , No. 09, 2010 , 2905-2909

Florent Autrusseau, Patrick Le Callet, Alexandre Ninassi,(2007), ´ A study of content basedwatermarking using an advanced HVS model´, Intelligent Information Hiding and Multimedia S ignal Processing , 2007. IIHM S P 2007. Third International Conference on I EEE proceedings

Digital watermar k ing concepts, http://enc y clopedia.jrank .org/articles/pages/6725/Digital-Watermar k ing.html 

Fuzzy Inference Systems ::(Fuzzy Logic Toolbox)www.mathwor k s.com/help/toolbo x  /fuzz y  /fp351dup8.html 

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