Half-Zone Quantization Based Algorithm for Information Hiding

In this paper, a novel blind data hiding technique based on quantization is proposed. Quantization is performed in a special domain which converts one dimensional signal to a 2-D one named Point to Point Graph (PPG). Basis of the method is on the separation of this domain into two portions; while, only one portion is quantized. Furthermore, in the data extraction procedure, by using the unquantized portion and counting the number of samples, the embedded data is extracted. The performance of the proposed method is analytically investigated and verified by simulation with artificial Gaussian signals. Experimental simulations over audio signals show that the proposed method outperforms the recent quantization based watermarking approaches.