7 research outputs found

    2D Watermarking: Non Conventional Approaches

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    New Multi-Domains Image Watermarking Method Based on Multi-Watermarks Embedding and Neural Network Segmentation

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    The need for a robust method that protects owner rights against unintended or malicious stealing, which has arisen because of the rapid increase of Internet data exchange and multimedia use, in addition to international electronic commercial services and the multimedia that it contains, has become a substantial constraint to the research in this domain. This paper proposes a novel method for image watermarking based on embedding multiple identical watermarks in different domains of the image representation: i.e. spatial and DCT domains, without any distortion of the watermarked image. In the spatial domain, the processing method uses a non-linear neural network segmentation to output the different zones of watermark embedding with respect to the image characteristics. Basing on this study, we compute the appropriate variable embedding gain factors chosen within the limit of the perceptibility threshold. However, in the DCT domain, different DC
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