The International Arab Journal of Information Technology (IAJIT)


Enhancing the Optimal Robust Watermarking

 Digital watermarking is a robust method that allows a person to attach hidden data into the digital audio, video, or image signals and documents. In this paper, we prop ose a watermarking technique where initially, the watermark is embedded into the HL and LH frequency coefficients in multi" wavelet transform domain after searching the optima l locations in order to improve both quality of watermarked image and robus tness of the watermark. Here, the payload along with robustness is improved using Genetic Algorithm (GA) and multi"bit embedding procedure. The experimentation is carried using the different images and the performance of the techniq ue is analyzed using the Perceptual Quality"Depende nt Parameter (PSNR) and NC. The proposed technique is evaluated using v arious compression standards and filtering techniques which yielded good results by having high PSNR and NC values show ing the robustness and fidelity of the technique. The technique has achieved a peak PSNR of 38.14 and NC of 0.998. The technique is also compared to previous technique and results show that our proposed technique have performed better. Furth ermore, payload analysis is carried out to infer that our proposed technique uses only half the payload when compared to previous technique.    

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[46] Zeki A., Manaf A., and Mahmod S., High Watermarking Capacity Based on Spatial Domain Technique, Information Technology Journal , vol. 10, no. 7, pp. 1367-1373, 2011. Satish Todmal obtained his Bs degree in electronics engineering from University of Pune. Then, he obtained his Ms degree in computer engineering from Bharati Vidyapeeth University, Pune, India and currently working as Assistant Professor in the Department of Information Technology at JSPM s Imperial College o f Engineering and Research, Pune, India. His specializations include embedded systems and signal processing. His current research is optimizing the digital watermarking techniques using genetic algorithms using discrete wavelet transforms. Suhas Patil received his Bs degree from the Shivaji University, Warna Institute of Technology, India in 1989. The Master of Engineering degree from the University of Pune, India, in 1992, and the PhD degree from the Bharati Vidyapeeth Deemed University, India in 2009. He is associated with the field of teachissng for the past 22 years (from 1989 till date). He is currently Professor and Head in the Department of Computer Engineering at Bharati Vidyapeeth University College of Engineering, India . His research interests are in operating systems, computer networks, expert systems and distributed systems. Suhas Patil is a Member of Reviewer Board of IAENG International Conference on Computer Science. He serves as Observer University Grants Commission (India) in number of autonomous Colleges and Universities. He is Associate Member o f International Association of Information Technology Trainers (IT-Train) and Member of International Society of Computer Associations (ISCA). Apart from being Project Evaluator and Expert Faculty for National Open Universities and State Level Universities, he has guided successfully more than 37 post graduate students and pursuing 05 Research Scholars.