J. Chandrasekhar Rao, K. Ujwal Deep, Suneel Mudunuru, Asst.Professors of ECE dept have authoured a paper and was published in International Journal of Advances in Science and Technology

Abstract:

In this paper, a robust and blind image watermarking scheme in contourlet domain based with singular value decomposition is proposed for multimedia copyright protection. In contrast to traditional methods where the watermark bits are embedded directly on the contourlet transform coefficients, the proposed scheme is based on watermark bits embedding on the singular value of the selected blocks within lowpass subband of the original gray image contourlet transform. Experimental results demonstrate that the quality of watermarked image is robust against attacks such as JPEG compression, lowpass filtering, noise addition, scaling and cropping. Watermark extraction is efficient and blind in the sense that the original image or original watermark is not required.

Keywords: Contourlet Transform, Digital Image Watermrking, Singular Value Decomposition, Lowpass Subband, Quantization Strategies