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In this paper, a novel copyright protection zero-watermarking scheme that combines the discrete wavelet transform (DWT) and the singular value decomposition (SVD) is proposed. Instead of modifying the original image data, which inevitably causes some permanent quality degradation, to embed a watermarking, the proposed scheme constructs a watermarking from the image features which extracts from the...
The growth of new image technologies has created a need for techniques that can be used for copyright protection of digital images, video and audio. One approach for copyright protection is to introduce an invisible signal, known as a digital watermark, into an image or video sequence. Wavelet-based watermark exploit the frequency and spatial of the transformed data in multiple resolutions to gain...
We present an novel watermark scheme of adaptively selecting embedding positions of watermark. In this scheme, we have exploited the capabilities of Fuzzy Neural Network (FNN) approaches for nonlinearly classification the embedding positions. Fuzzy set theory is adopted in a new neural computing algorithm. It has been proved that the novel scheme gets rid of the slow training speed and network parameter...
A robust digital watermark scheme using wavelet-based is presented for copyright protecting. For security, the watermarking is perturbed firstly. A mark sequence may be gotten. For embed watermark imperceptibility, wavelet decomposition for original image is realized. After the original image decomposed into single resolution level, we connect three detail wavelet coefficient matrixes into a big matrix...
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