SHARBANI BHATTACHARYA

Fuzzy Logic in Watermarking System

Gyanodaya 2014IEC-College of Engineering & Technology, Greater Noida29th March 2014

WATERMARK AND NATURAL CALAMITY The natural calamity and disaster

management are often predicted by pictures taken from satellite from space shuttle.

Terrorist can tamper the image and can given altogether different image which depicts different view.

So, image is required to be watermarked properly to be used for any kind of judgement..

WATERMARKING

Watermarking is a method of authentication of an image. It is used for copyright of the digital contents.

Watermarking text

ENCRYPTION

Cryptography is art of converting an message into cipher text and sent to the destination. The authorized person can decipher the text and retrieve the original message.

FUZZY LOGIC

It is logic developed by Loft Zadeh in 1965 at University of California. It is the logic with which unprecise data can be captured to form a set.

FUZZIFICATION

Fuzzy set are acquired from Crisp Set using membership function. This process is known as fuzzification.

DEFUZZIFICATION

Converting Fuzzy set to Crisp set .

FUZZY SET & WATERMARKING SYSTEM This fuzzy sets are then used to design

the front-end of the Watermarking System.

WATERMARKING CRITERIA Robustness Visual Quality Information Embedding Capacity

FUZZY SET WATERMARKING CRITERIA

FRobustness is Fuzzy set for Robustness criteria

FVisual Quality for Visual Quality FEmbedding Capacity Information Embedding

Capacity

Criteria for Watermarking

Factors affecting Watermarking

Fuzzy Sets of Factors

Fuzzy Rule

Design of Front-End

CRITERIA FOR CHOICE

Front-end architecture of watermarking system with criteria robustness.

FACTOR EFFECTING ROBUSTNESS1. Visibile (Vis)2. Invisible(NVis)3. Blind(BL)4. Non-Blind(NBL)5. Medical Image(Mimg)6. Non-Medical Image(Nimg)7. Cryptography (Cryp)8. Non-Crypotographic (Ncryp)9. RSA Algo used(RSA)10. DES Algo used (DES)11. AES Algo used (AES)12. New Algo used (Jnew)13. Watermarking Method using Fuzzy logic(WMF)14. Watermarking Method using Genetic Algorithm(WMGA)15. Watermarking Method using Fuzzy-Genetic algo(WMFGA)16. Fuzzy set for Robust Watermarking Scheme I17. Fuzzy set for Semi Fragile Watermarking Scheme (SFr)18. Fuzzy set for Fragile Watermarking Scheme (Fr)19. Fuzzy set for Watermarking Method(WM)20. Fuzzy set for Robustness (FRobustness)

STEPS FOR WATERMARKING SYSTEM DESIGN Taking all the factors on which robustness of

watermarking scheme depends as crisp set. This crisp set is converted to fuzzy sets. This fuzzy sets are then used to design the front-

end of the Watermarking System. Converting crisp set to fuzzy set is called

fuzzification. These, fuzzy set elements are then put to their

respective places and positions in the user-friendly front-end according to their membership functions.

FUZZY SETS OF WATERMARKING SYSTEM We are defining the following fuzzy sets. FRobustness =[ (R,0.8), (Fr, 0.2), (SFr,0.4)] WM =[ (WMF, 0.5) , (WMGA, 0.4),( WMFGA,0.8)] FCryp = [ (RSA,0.8) , (DES,0.6),(AES,0.4), (Jnew,0.2)]   Fr=[ (Vis,0.8) , (BL,0.9), (Ncryp,0.9)] SFr=[ (Vis,0.4),(BL,0.6), (Cryp,0.6)] R=[(NBL,0.8) , (Cryp,0.8) ,(Nvis,0.9) ,(WM,0.4)]

ROBUSTNESS

FRobustness.This opens a Frame having three tabs

Robust Semi Fragile Fragile.

ROBUST TAB HAS

1. Invisibility2.Cryptography3.Non-Blind 4.Watermarking method i.e. -Fuzzy or GA or Fuzzy-Genetic etc.

FRONT-END ARCHITECTURE

Using fuzzy sets in front-end architecture can give more user-friendly interface. The user can see the values of each factors in percentage. This is defuzzification of fuzzy set into crisp set.

FRONT-END ARCHITECTURE

The architecture is designed on the fuzzy rules and user can understand the impact of the changes with its effects of factors in percentage given in the text box below a drop down box.

CONCLUSION

The above method is applicable to all kind of software architecture. As the complexity increases the fuzzy rules can make design easier.

BENEFIT

The benefit is it makes more user friendly front-end.

DRAWBACKS

Drawback is if membership function is not properly judged it can be cumbersome. User can be dismayed by its complicacy.

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Thankyou