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Page 1: A Feature-Based Robust Digital Image Watermarking Scheme.doc

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A Feature-Based Robust Digital Image

Watermarking Scheme

AIM:

The main aim of the project is to design and implement “A Feature-Based

Robust Digital Image Watermarking Scheme”

ABS!RA"!:

The effectiveness of a digital watermarking algorithm is indicated by the

robustness of embedded watermarks against various attacks. Improving the

robustness of a watermark so as to withstand attacks has been one of the main

research objectives in digital image watermarking. The two issues of existing

feature-based schemes that have to be addressed are: one is avoiding repeated

selection of robust regions for watermarking to resist similar attacks, and the other

is the difficulty of selecting the most robust and smallest feature region set to be

watermarked. In order to achieve robustness, an overall architecture for a feature-

 based robust digital image watermarking scheme is designed. ! simulated

attacking procedure is performed using predefined attacks to evaluate the

robustness of every candidate feature region selected. "omparing with some well

known feature-based methods, the proposed method exhibits better performance in

robust digital watermarking.

V.Mallikarjuna (Project manager) Mobile No: +91-8297578555.

ISO: 9001- 2008 CERTIFIED COMPANY   Branch!: "#$ra%a$ &Na'()r

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B#$"% DIA&RAM:

#ig: $eneral process of %igital Image &atermarking 'ystem

!$$#S:

(ilinx ).*I'+, odelsim .c.

A''#I"A!I$( AD)A(!A&*S:

! novel techni/ue centered on the simulated attacking approach is

developed to select the most ade/uate feature regions for robust digital

image watermarking under the limitation of preserving image /uality.

In comparison with other feature-based watermarking methods, the

robustness against various attacks is significantly improved by the proposed

method, and the image /uality after watermarking is well-preserved.

R*F*R*("*S:

V.Mallikarjuna (Project manager) Mobile No: +91-8297578555.

ISO: 9001- 2008 CERTIFIED COMPANY   Branch!: "#$ra%a$ &Na'()r

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• images: a comparison of &avelet denoising and $aussian smoothing0, I+++

transactions on edical Imaging 1ol.*2, 3o.2, 44.25-265.

• 7ojat 8eganeh, !li 9iaei and !mirhossein e;aie, <! 3ovel !pproach for

"ontrast +nhancement =ased on 7istogram +/uali;ation0, International

"onference on "omputer and "ommunication +ngineering.

• 8i &an and >i/iang "hen, “! 3ovel >uadratic type variation method for

efficient salt-and-pepper noise removal0, ? I@!"'!A International @ournal of

!dvanced "omputer 'cience and !pplications, 'pecial Issue on Image

4rocessing and !nalysis, 44.6B-)C.

• "hin-"hen "hang, @u-8uan 7siao and "hih-4ing 7sieh, <!n !daptive

edian #ilter for Image %enoising0, I+++ "onference on Image 4rocessing.

• +. Tsomko, 7.@. Dim, and +. I;/uierdo, < Einear $aussian blur evolution for

detection of blurry images0, I"$'T-$1I4 @ournal, I''3 F65-2)6( ,

1olume.), Issue.*, 44.F-).

V.Mallikarjuna (Project manager) Mobile No: +91-8297578555.

ISO: 9001- 2008 CERTIFIED COMPANY   Branch!: "#$ra%a$ &Na'()r


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