High Capacity Data Embedding System using Projection Quantization

نویسندگان

  • Navdeep Kaur
  • Sukhjeet K. Ranade
چکیده

In this paper, we propose a high capacity dataembedding system in DCT domain and review the existing high capacity data embedding systems both in spatial domain as well as transform domain. The embedding algorithm is based on the quantized projection embedding method with some enhancement to achieve high embedding rates. The embedding is done on the quantized DCT coefficients using the concept of Hadamard Matrix as base vector. The system has very high capacity as comparable to the existing techniques of DCT domain. The system is highly robust and achieves high visual imperceptibility.

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تاریخ انتشار 2012