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Reversible Watermarking based on Entropy Masking with Histogram Shifting

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 99 - Number 13
Year of Publication: 2014
Authors:
Rashpinder Kaur
Jaspreet Singh
10.5120/17437-8269

Rashpinder Kaur and Jaspreet Singh. Article: Reversible Watermarking based on Entropy Masking with Histogram Shifting. International Journal of Computer Applications 99(13):39-43, August 2014. Full text available. BibTeX

@article{key:article,
	author = {Rashpinder Kaur and Jaspreet Singh},
	title = {Article: Reversible Watermarking based on Entropy Masking with Histogram Shifting},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {99},
	number = {13},
	pages = {39-43},
	month = {August},
	note = {Full text available}
}

Abstract

In this paper an improved method for reversible watermarking is proposed. This scheme is the combination of entropy masking and histogram. One first contribution is entropy masking which has three techniques. From three of them dwt is used for the watermarking. Entropy masking is also a human visual system's characteristic, which rarely has been addressed in visual models. The second contribution is a histogram shifting. This will show the histogram of the different images. In that way the watermark embedded and extractor remain synchronized for message extraction and image reconstruction. In this paper a universal entropy masking model is proposed for watermarking embedding algorithm to keep the balance between watermarks' imperceptibility and also its robustness. Also the results are concluded from the experiments that a suitable domain of entropy calculation will result in optimal watermarking performance. For the implementation of this proposed work, the Matlab software is used under image processing toolbox.

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