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A Robust Digital Image Watermarking Scheme using Singular Value Decomposition (SVD), Dither Quantization and Edge Detection B.Chandra Mohan#, S.Srinivaskumar$, B.N.Chatterji* #Research Scholar, JNTU College of Engineering, Kakinada, Andhra Pradesh, India. $Professor, ECE Dept, JNTU College of Engineering, Kakinada, Andhra Pradesh, India. *Former Professor, Dept of E & ECE, Indian Institute of Technology, Kharagpur, West Bengal, India.Abstract
This paper presents a robust algorithm for digital image watermarking
based on Singular Value Decomposition (SVD) and Dither Quantization. The
eigen matrix in the singular value decomposition is explored for data
embedding. The perceptibility of the watermarked image is enhanced by
embedding the watermark image in some selected and most complex blocks
of the host image. A block is said to be a complex block, if the number
of edges in the block is more than a predefined threshold. The proposed
method is robust and the watermark image can survive to many image
attacks like rotation, scaling, noise, JPEG compression, JPEG 2000
compression, low pass filtering, biplane removal, row column blanking,
row column copying, cropping, image tampering and gamma correction.
Results are compared with an existing and recent method and found to be
superior in terms of the quality of the extracted watermark image and
resilience to attacks. The metric used to test the robustness of the
proposed algorithm is the Normalized Cross correlation (NC).
@ARTICLE{P1150714002, AUTHOR = {B.Chandra Mohan and S.Srinivaskumar and B.N.Chatterji}, TITLE = {A Robust Digital Image Watermarking Scheme using Singular Value Decomposition (SVD), Dither Quantization and Edge Detection}, JOURNAL ={ICGST International Journal on Graphics, Vision and Image Processing, GVIP},
YEAR = {2008},
VOLUME = {08}, ISSUE ={I}, PAGES={17--23} }
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