A Semi Blind Self Reference Image Watermarking in Discrete Cosine Transform using Singular Value Decomposition
Author(s) -
Satyanarayana Murty.P,
Sekhar Dileep Kumar,
Rajesh Kumar. P
Publication year - 2013
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/10141-4948
Subject(s) - computer science , discrete cosine transform , singular value decomposition , digital watermarking , image (mathematics) , value (mathematics) , modified discrete cosine transform , decomposition , computer vision , artificial intelligence , algorithm , transform coding , ecology , machine learning , biology
approach to self reference image watermarking scheme based on Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD). First, the original image is segmented into blocks by using ZIG - ZAG sequence. Then find the edges in each block and kept a threshold on these number of edges in each block. Using this threshold, get the essential blocks. A reference image is formed by taking these essential blocks. Reference image is transformed into DCT domain and then SVD is performed on both reference and watermarked image. Embedding is done by modifying singular values of the reference image using singular values of watermark. After embedding, modified reference image is segmented into blocks and these modified blocks are mapped into their original places for constructing watermarked image. For extraction, the watermarked reference image is constructed by the watermarked image using the positions of the selected blocks and the reverse process is used for extracting the singular values of the watermark from watermarked reference image. Robustness of proposed scheme is carried out by a variety of attacks.
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