@article{375,
  author = {Jaishree Rai, Vijendra Rai, Suneeta Agarwal},
  title = {Scalar Quantization Based Robust Multiple Image Watermarking},
  journal = {Journal of Information Security Research},
  year = {2010},
  volume = {1},
  number = {2},
  doi = {},
  url = {http://www.dline.info/jisr/fulltext/v1n2/2.pdf},
  abstract = {With respect to the general information hiding problem, a tradeoff is involved between robustness, visibility and capacity. Security of digital multimedia content has become an important issue for content owners and service providers. As watermarking is identified as a major technology to achieve copyright protection. There are many watermarking techniques for data hiding and each of them has some advantages and disadvantages. The robust method for data hiding is embedding the hidden data in the choice of quantizer for the host data. A quality factor is determined to get an appropriate quantization matrix. To modify the bit streams directly during embedding cause unacceptable distortions to cover images. We had developed DCT based entropy Threshold method which determines threshold for each block and only those blocks are selected for whose entropy exceeds by a predetermined threshold for embedding the data. The experimental results show that the proposed scheme has good imperceptibility.},
}