非对称失真的空域自适应隐写

Asymmetric Distortion Function for Spatial Adaptive Steganography

提出一种用于空域自适应隐写的区分加减—–失真代价的通用方法,首先利用像素灰度值本身的失真代价值优化原始失真代价函数.然后通过迭代,多次根据修改情况进一步调整失真代价.经过调整的失真代价能最大程度地聚集修改方向,使含密图像具有更好的抗检测性.实验表明,优化后的失真代价函数能显著提高空域自适应隐写方法的安全性.

This paper proposes a general method to distinguish the embedding cost for different polarity of embedding change for spatial images.Firstly,at the cost of distortion of pixel grayscale value,the original distortion function is improved.Then the improved distortion function is adjusted iteratively according to the modified pixels.The modification directions are gathered together after the original distortion function is optimized using the proposed method.Thus the stego images perform better undetectability.Experiment results show that the security performance of current popular steganographic methods is observably increased after incorporated the proposed method.