非对称失真的空域自适应隐写

doi:10.3969/j.issn.0255-8297.2018.05.009

应用科学学报 ›› 2018, Vol. 36 ›› Issue (5): 819-825.doi: 10.3969/j.issn.0255-8297.2018.05.009

非对称失真的空域自适应隐写

王子驰¹, 张新鹏¹, 秦川²

1. 上海大学通信与信息工程学院, 上海 200444;
2. 上海理工大学光电信息与计算机工程学院, 上海 200093

收稿日期:2017-09-17 修回日期:2017-11-23 出版日期:2018-09-30 发布日期:2018-09-30
作者简介:王子驰,博士生,研究方向:隐写、隐写分析、可逆信息隐藏,E-mail:wangzichi@shu.edu.cn
基金资助:
国家自然科学基金（No.U1636206，No.61525203，No.61502009，No.61472235）；上海市曙光学者计划（No.14SG36）；上海市优秀学术带头人计划（No.16XD1401200）资助

Asymmetric Distortion Function for Spatial Adaptive Steganography

WANG Zi-chi¹, ZHANG Xin-peng¹, QIN Chuan²

1. School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China;
2. School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China

Received:2017-09-17 Revised:2017-11-23 Online:2018-09-30 Published:2018-09-30

摘要/Abstract

摘要： 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.

关键词: 空域图像, 失真代价, 极性, 隐写

Abstract: 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.

Key words: spatial images, polarity, steganography, distortion cost

中图分类号:

TP309

王子驰, 张新鹏, 秦川. 非对称失真的空域自适应隐写[J]. 应用科学学报, 2018, 36(5): 819-825.

WANG Zi-chi, ZHANG Xin-peng, QIN Chuan. Asymmetric Distortion Function for Spatial Adaptive Steganography[J]. Journal of Applied Sciences, 2018, 36(5): 819-825.

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非对称失真的空域自适应隐写

Asymmetric Distortion Function for Spatial Adaptive Steganography

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