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Robust Image Watermarking in Frequency Domain

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Abstract (2. Language): 
The spreading out of internet these days has raised the worth of digital media all over the planet. Digital watermarking has been a boon to digital media world as it endows various benefits like authentication, copy control and rights management of digital media. Digital images a category under digital media can be watermarked either in time domain or in frequency domain. The goal is to produce an efficient, secure and invisible watermarked image using digital watermarking thereby improving the quality and increasing the robustness of watermarked image. Here, digital image is watermarked using wavelet transforms which is an efficient multi-resolution frequency domain techniques. The low frequencies of wavelet decomposition of the carrier image which is a color image is watermarked with a color logo shuffled using a chaotic map technique. Embedding process is highly secured as chaotic map technique shuffles the watermark in order to confuse any unauthorized person who tries to modify or remove the corresponding watermark. The Peak Signal to Noise Ratio (PSNR) of watermarked image has proved that the original image and the watermarked image are visually indistinguishable by human observers. Robustness is checked well by extracting the original watermark perfectly without any degradation in the original image.

REFERENCES

References: 

[1] Heena Shaikh, Mohd. Imran Khan, and Yashovardhan Kelkar, “A Robust DWT Digital Image Watermarking Technique
Basis on Scalling Factor,” Int. J. Computer Science, Engineering and Applications, vol. 2, no. 4, Aug. 2012.
[2] Keshav S Rawat and Dheerendra S Tomar, “Digital Watermarking Schemes for Authorization against Copying or Piracy
of Color Images,” Indian Journal of Computer Science and Engineering, vol. 1, no. 4, pp. 295-300.
[3] Manpreet Kaur, Sonika Jindal, and Sunny Behal, “A Study of Digital Image Watermarking,” International Journal of
Research in Engineering & Applied Sciences, vol. 2, Issue 2, pp. 226-236, 2012.
[4] Mansi Hasija and Alka Jindal, “Contrast of Watermarking Techniques in different domains,” IJCSI International Journal
of Computer Science Issues, vol. 8, Issue 3, no. 2, pp. 559-563, May 2011.
[5] Sanjay Rawat and Balasubramanian Raman, “A chaotic system based fragile watermarking scheme for image tamper
detection,” Int. J. Electron. Commun, vol. 65, pp. 840-847, Jan. 2011.
[6] Chih-Chin Lai, “A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm,”
Int. Con. Digi Sig Processing, vol. 21, pp. 522–527, 2011.
[7] Yong-Gang Fu, “Asymmetric Watermarking Scheme Based on Shuffling,” Int. WIEE, vol. 29, pp. 1640-1644, 2012.
[8] Zhou Zude, Ai Qingsong, and Liu Quan, “Digital Watermarking Scheme for Color Image Based on Image Fusion,” Proc.
ICWMM, 2006.
[9] J. Dittmann, A. Steinmetz, and R. Steinmetz, “Content-based digital signature for motion pictures authentication and
content-fragile watermarking,” in Proc. IEEE Int. Conf. Multimedia Computing System, pp. 209-213, 1999.
[10] Baisa L. Gunjal and Suresh N.Mali, “Secured color image watermarking technique in DWT - DCT domain,” in Proc. Int.
J. Computer Science, Engineering and Information Technology (IJCSEIT), vol. 3, Issue 1, 2011.
[11] Ghouti L, Bouridane A and Ibrahim MK, “Digital image watermarking using balanced multi-wavelets,” IEEE
Transactions on Signal Processing, vol. 54, Issue 4, pp. 1519-1536, 2006.
[12] Amol R. Madane, K T. Talele and M. M. Shah, “Watermark Logo in Digital Image using DWT”, in proceedings of
International Conference on SPIT, Mumbai, India, vol. 1, 2008.

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