Title of article :
An improved SVD-based watermarking technique for copyright protection
Author/Authors :
Run، نويسنده , , Ray-Shine and Horng، نويسنده , , Shi-Jinn and Lai، نويسنده , , Jui-Lin and Kao، نويسنده , , Tzong-Wang and Chen، نويسنده , , Rong-Jian، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Abstract :
The drawbacks of SVD-based image watermarking are false positive, robust and transparency. The former can be overcome by embedding the principal components of the watermark into the host image, the latter is dependent on how much the quantity (i.e., scaling factor) of the principal components is embedded. For the existing methods, the scaling factor is a fixed value; actually, it is image-dependent. Different watermarks need the different scaling factors, although they are embedded in the same host image. In this paper, two methods are proposed to improve the reliability and robustness. To improve the reliability, for the first method, the principal components of the watermark are embedded into the host image in discrete cosine transform (DCT); and for the second method, those are embedded into the host image in discrete wavelets transform (DWT). To improve the robustness, the particle swarm optimization (PSO) is used for finding the suitable scaling factors. The experimental results demonstrate that the performance of the proposed methods outperforms than those of the existing methods.
Keywords :
Singular value decomposition , Principal component , Watermarking , False positive problem , Ambiguous situation , particle swarm optimization
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications