Currently, most quantization based data hiding algorithms are built assuming specific distributions of attacks, such as additive white Gaussian noise (AWGN), uniform noise, and s...
Most quantizer based data hiding schemes use uniform quantizer, which is not optimal if the host signal is not uniformly distributed. In this paper, we design a quantizer that is ...
This paper discusses the construction and implementation problem of trellis coded quantization (TCQ) based data hiding. We explore the robustness and distortion of data hiding by ...
In this paper we propose a novel data hiding procedure called Quantized Projection (QP), that combines elements from quantization (i.e. Quantization Index Modulation, QIM) and spr...
Information theoretic tools lead to the design and analysis of new blind data hiding methods. A novel quantizationbased blind method, which uses trellis coded quantization, is pro...