i-manager Publications

Comparative Analysis of Advanced Reversible Watermarking Techniques

V. Belmer Gladson*, Y. Sam Josuva**, R. Balasubramanian***

* Research Scholar, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamilnadu, India.

** Assistant Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamilnadu, India.

*** Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tamilnadu, India.

Periodicity:October - December'2016

Abstract

The Reversible watermarking is a field of hiding the information, which hides the crucial information in different forms like an image, song, video for protection of illegal duplication and distribution of multimedia data. This research work is to embed data in encrypted images and decrypt the image to rebuild the original image by removing the hidden data without any distortion. There are many researches in this field and various techniques were proposed. So in order to choose which one is the best technique, a definite need arises to compare with the techniques like Least Significant Bit (LSB), Difference Expansion (DE), Reversible Contrast Mapping (RCM), Wavelet-Fuzzy (WF) and these reversible watermarking methods are analyzed with the help of metrics PSNR, MSE, Processing Time and Correlation. From the experimental results and performance evaluation, LSB is better, but based on correlation and after applying a median filter, Wavelet- Fuzzy (WF) provides better results.

Keywords

Reversible Watermarking, Least Significant Bit (LSB), Difference Expansion (DE), Reversible Contrast Mapping (RCM), Wavelet-Fuzzy (WF).

How to Cite this Article?

Gladson, V. B., Josuva, Y. S., and Balasubramanian, R. (2016). Comparative Analysis of Advanced Reversible Watermarking Techniques. i-manager's Journal on Image Processing, 3(4), 19-25.

References

[1]. Alattar, Adnan M. (2004). “Reversible watermark using the difference expansion of a generalized integer transform”. IEEE Transactions on Image Processing, Vol. 13, No. 8, pp. 1147-1156.

[2]. Thodi, Diljith M., and Jeffrey J. Rodríguez, (2007). “Expansion embedding techniques for reversible watermarking”. IEEE Transactions on Image Processing, Vol. 16, No. 3, pp. 721-730.

[3]. D. Coltuc, and J. M. Chassery, (2007). “Very fast watermarking by reversible contrast mapping”. IEEE Signal Process. Lett., Vol. 14, No. 4, pp. 255-258.

[4]. Patanwar, Abhishek, and Shikha Singh, (2015). “A Comparative Study of Reversible Watermarking Techniques”. International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, No. 4.

[5]. Lande, Pankaj U., Sanjay N. Talbar, and G. N. Shinde, (2010). “Robust image adaptive watermarking using fuzzy logic an FPGA approach”. International Journal of Signal Processing, Image Processing and Pattern Recognition, Vol. 3, No. 4, pp. 43-54.

[6]. Arthi, R., V. Jaganya, and S. Poonkuntran, (2012). “Modified LSB watermarking for image authentication”. International Journal of Communication Technology, Vol. 3, No. 3, pp. 2231-0371.0.

[7]. Oueslati, Sameh, Adnane Cherif, and Bassel Solaiman, (2010). “Maximizing strength of digital watermarks using fuzzy logic”. Signal and Image Processing: An International Journal (SIPIJ), Vol. 1, No. 2, pp. 112-124.

[8]. Abhishek Patanwar, and Shikha Singh, (2015). “A Comparative Study of Reversible Watermarking Techniques”. International Journal of Advanced Research in Computer and Communication Engineering, Vol. 4, No. 4.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.