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Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA)

Venugopal Reddy C.H.


In this paper, the scaling factor of the watermark is the significant parameter that helps in improving the imperceptibility and robustness against attacks. The tradeoff between the imperceptibility and robustness is considered as an optimization problem and is solved by applying genetic algorithm (GA). The water marking is proposed to be implemented using a hybrid approach which encompasses discrete wavelet transforms (DWT), lifting wavelet transforms (LWT) and singular value decomposition (SVD) technique. The encryption is proposed to be effected using RSA and AES encryption algorithms. A graphical user interface (GUI) which enables the user to have ease of operation in loading the image, watermark it, encrypt it and also retrieve the original image whenever necessary is also designed and presented in this paper.



C.H. Venugopal Reddy is working as Professor in the department of ECE, Priyadarshini College of Engineering & Technology, Nellore,
affiliated to JNTU Anantapur, A.P. He has more than 13 years of teaching experience. He got his B. Tech (ECE) from K.S.R.M. Engg. College, Kadapa, A.P, affiliated to S.V. University, Tirupathi, A.P. M.E (Commn. Sys) from Dr. M.G.R Engg College, Chennai, T.N affiliated to Anna University, Chennai. He is presently pursuing PhD in the area of digital image water marking, Acharya Nagarjuna University, Guntur. He has a good no. of research publications in his credit. His research interests are in the areas of image processing, signal processing and communications.

Cite this Article
Venugopal Reddy CH, Siddaiah P. Comparison Performance Analysis of Multi-Wavelet Based Watermarking Techniques for Medical Images Using Genetic Algorithm (GA). Journal of Image Processing & Pattern Recognition Progress. 2016; 3(1): 15–23p.


DWT, LWT, SVD, GA, multi objective optimization, encryption

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