摘要
为提高图像空域隐写算法的视觉不可感知性,通过结合视觉注意力机制和人眼对图像的灰度及边缘等敏感特性,提出一种基于视觉模型的感兴趣区域菱形编码隐写算法.在底层人眼感知判定的基础之上,根据视觉注意模型划分嵌入等级,并动态调整秘密信息的嵌入量.实验结果表明,与基于边缘自适应的像素对匹配算法相比,本文提出的算法不仅有较高的视觉不可感知性,而且能抵抗常用的空域隐写分析.
To improve the invisibility of image spatial steganography,we present a ROI-APPM algorithm ofinterest region by combining vision mechanism and the eye sensitivity to gray and edge.The embedded secretinformation is dynamically adjusted through the visual attention model and low level perceptual judgment of thehuman eyes.Experimental results show that,compared with EAPPM,the proposed algorithm not only achievesa higher visual sensitivity,but can also resist the traditional spatial domain steganographical technique.
作者
陈涨胜
杨任尔
陈贞佐
段欢
CHEN Zhang-sheng;YANG Ren-er;CHEN Zhen-zuo;DUAN Huan(Institute of Communication and Information Systems, Ningbo University, Ningbo 315211, China)
出处
《宁波大学学报(理工版)》
CAS
2017年第4期68-73,共6页
Journal of Ningbo University:Natural Science and Engineering Edition
基金
宁波市自然科学基金(2015A610140)
浙江省信息与通信工程重中之重学科开放基金项目(XKXL1524)
关键词
图像隐写
菱形编码
视觉感知
感兴趣区域
image steganography
diamond encoding
visual sense
region of interest