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High Capacity Data Embedding System using Projection Quantization
Navdeep Kaur, Sukhjeet K.Ranade Department of Computer Science and Engineering, Punjabi University, India
Abstract: In this paper, we propose a high capacity data- embedding 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.
Keywords: data embedding, high-capacity data hiding, information hiding, hiding capacity, DCT transformation.
Keywords: data embedding, high-capacity data hiding, information hiding, hiding capacity, DCT transformation.
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[1] Navdeep Kaur, Sukhjeet K.Ranade Department of Computer Science and Engineering, Punjabi University, India, “High Capacity Data Embedding System using Projection Quantization,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE)
