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Digital Watermarking in Contourlet Domain

Authors: JAYALAKSHMI, M; MERCHANT, SN; DESAI, UB;

Digital Watermarking in Contourlet Domain

Abstract

Digital watermarking has been proposed as a method of copyright protection of audio, images, video and text. We propose to use the newly introduced transform for two dimensional signals, namely, the contourlet transform for image watermarking application. We have carried out simulations with two kinds of images - maps consisting of lot of curves and texts and those with textures. The watermarked images were subjected to different attacks like mean filtering, quantization and JPEG compression. It is observed that the contourlet based algorithm outperforms wavelet and DCT based methods in this application. It is also apparent from the simulation results that contourlet based techniques give a distinct advantage over conventional techniques in images like maps which consist of lot of curves and texts

Country
India
Keywords

Image Compression, Algorithms, Video Signal Processing, Two Dimensional

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    popularity
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    Average
    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
31
Average
Top 10%
Top 10%
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