| Título: | AN ELUCIDATION TO GAIN ATTACK ON WATERMARKING METHODS |
| Autores: |
Daniel, N.; M.Tech Student, Dept of CSE, TRR Engineering College, Inole (V), Patancheru (M), Medak (Dist.)A.P Sandhya, I.; Assistant Professor, Dept of CSE, TRR Engineering College, Inole (V), Patancheru (M), Medak (Dist.), A.P Rao, Pasala Raja Prakasha; Professor, Dept of CSE, TRR Engineering College, Inole (V), Patancheru (M), Medak (Dist.), A.P |
| Fecha: | 2013-06-02 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: | Watermark; Maximum likelihood decoder; Gaussian samples; Image normalization |
| Descripción: | A watermark in general contains information about the source, prominence, or recipient of the host information. Watermarking has been approximately for several centuries, in the form of watermarks set up in the beginning in plain paper and consequently in paper bills. Watermarking always remains a considerable subject for solving authentication troubles concerning digital multimedia data, in earlier period. A good watermarking system should always be capable to deal with some kinds of attacks. Quite a lot of robust watermarking methods have been proposed so far. Most of the effectual watermarking schemes try to match the features of the watermark to those of the image advantage. To assure robustness against geometric attacks and decrease the watermark harmonization trouble, a watermarking system which employs a feature extraction and image normalization approach is proposed. An image watermarking technique was proposed which embeds the watermark into the log polar mapping of the image Fourier magnitude spectrum which is invariant to rotation and remains moderately robust to scaling attack. The usage of four samples of the approximation coefficients of the image blocks to build a line segment, whose slope is invariant to the gain factor, is employed for watermarking purpose in the 2-D space. We insert the watermarking code by projecting the line segment on some specific lines according to message bits. To plan a maximum likelihood decoder, we calculate the distribution of the slope of the embedding line segment for Gaussian samples. The performance of watermarking method is systematically investigated and verified by means of simulation on artificial signal. |
| Idioma: | Inglés |
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