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SELECTION OF OPTIMAL FEATURE REGION SET BASED ON SIMULATED ATTACKING AND MDKP TECHNIQUES

Authors: S. Krishnaveni; M. A. Arul Rozario;

SELECTION OF OPTIMAL FEATURE REGION SET BASED ON SIMULATED ATTACKING AND MDKP TECHNIQUES

Abstract

“Selecting Optimized feature region set for digital image using Algorithm” is discussed here. Enhancement of a digital watermarking algorithm is denoted by the robustness of embedded watermarks against various attacks. Method based on the simulated attacking and the GA-based MDKP solving procedure is developed to select the most adequate feature regions for robust digital image watermarking under the constraint of preserving image quality. Finally, we select most robust region from selected primary feature regions using generic algorithm.

Keywords

feature detection, genome, mutation

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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