A Secure BPCS Steganography against Statistical Analysis

Statistical analysis based on complexity histogram is a powerful steganalytic technique for detecting the presence of secret message embedded in the digital images using bit-plane complexity segmentation (BPCS). This paper proposes an improved BPCS algorithm that can effectively resist statistical analysis. We set different threshold values at different bit planes, combining complexity with the characteristics of human visual system whereby a human is less sensitive to the regions with higher or lower gray values, to select blocks for embedding. Experimental results show that adopting the improved algorithm can effectively resist statistical analysis based on the complexity histogram, and the stego-image has better quality than BPCS-steganography