Mohananthini Natarajan

Work place: Department of Electrical Engineering, Annamalai University, Tamilnadu, India



Research Interests: Information Security, Image Processing, Information-Theoretic Security


Mohananthini Natarajan received her B.E. (Electrical and Electronics) Degree from Annai Mathammal Sheela Engineering College, Namakkal, Tamil Nadu, India in 2007. She received her M.E. (Applied Electronics) Degree from Anna University, Chennai, Tamilnadu, India in 2009. Her current research areas are digital image processing and information security.

Author Articles
Performance Comparison of Single and Multiple Watermarking Techniques

By Mohananthini Natarajan Yamuna Govindarajan

DOI:, Pub. Date: 8 Jun. 2014

The present work compares single and multiple watermarking by using discrete wavelet transform and different embedding methods. The different embedding methods are additive, multiplicative and hybrid watermarking with importance on its robustness versus the imperceptibility of the watermark. The objective quality metrics are demonstrated that, the additive embedding method achieves superior performance against watermark attacks on multiple watermarking technique.

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A Robust Image Watermarking Scheme Based Multiresolution Analysis

By Mohananthini Natarajan Yamuna Govindarajan

DOI:, Pub. Date: 8 Oct. 2012

Digital watermarking has been widely applied to solve copyright protection problems of digital media relating to illegal use of distributions. In digital watermarking, a watermark is embedded into a cover image in such way that the resulting watermarked signal is robust to certain distortion. This paper presents a digital image watermarking based on Discrete Wavelet Transform (DWT). In the proposed method, the watermark as well as the cover image seldom looses the quality in both embedding and extraction process. The embedding process is carried out by tetra-furcating the watermark and embedded into the sub-bands of cover image. Signal to Noise Ratio (SNR) and Peak Signal to Noise Ratio (PSNR) are computed to measure image quality for the DWT transform. We present traces of host and watermarked images. From the traces we observe that, we get good SNR and PSNR with DWT. Experiment evaluation demonstrates that the proposed scheme is able to withstand a variety of attacks. This scheme shows good performance on different types of cover images in terms of imperceptibility and resist to jpeg compression.

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