An adaptive steganography algorithm based on block sensitivity vectors using HVS features
Yizhen Chen, Zhi Han, Shuping Li, Lu Chunhui, Xiaohui Yao · 2010 3rd International Congress on Image and Signal Processing · 2010
Steganography is the technique to hide secret data in certain media, digital image for example, without leaving any obvious evidence. As a branch of steganography, HVS feature for years has been one of the issues researchers focus on. In this paper, we introduce an improved adaptive steganography algorithm-SVBA algorithm, which fully analyzes the area statistical properties and adopts HVS features. SVBA algorithm first divides the image into 8*8 blocks and analyzes the mean, variance and entropy value of gray by block, then sets a sensitivity vector for each block with considering HVS features and adjusts the steganography schema dynamically according to the block sensitivity vectors. Simulation experiment results on Matlab7.0 show this algorithm has a balanced performance on efficiency, capacity, imperceptibility and robustness.