结合图像边缘检测和最小误差替换的隐写方案

刘久文; 潘峰; 李军

doi:10.3788/YJYXS20153001.0151

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结合图像边缘检测和最小误差替换的隐写方案

成像技术与图像处理 | 更新时间：2020-08-12

- 结合图像边缘检测和最小误差替换的隐写方案
- Steganography based on edge detection and minimum error replacement
- 液晶与显示 2015年30卷第1期页码：151-156
- 作者机构：
  
  武警工程大学电子技术系网络与信息安全武警部队重点实验室,陕西西安,710086
- 作者简介：
- 基金信息：
  
  国家自然科学青年基金项目(No.61309022)();陕西省自然科学青年基金(No.2013JQ8031)()
- DOI：10.3788/YJYXS20153001.0151
  中图分类号： TP391
- 收稿日期：2014-04-02，
  
  修回日期：2014-04-15，
  
  网络出版日期：2014-05-01，
  
  纸质出版日期：2015-02-05
- 稿件说明：
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刘久文, 潘峰, 李军. 结合图像边缘检测和最小误差替换的隐写方案[J]. 液晶与显示, 2015,30(1): 151-156

LIU Jiu-wen, PAN Feng, LI Jun. Steganography based on edge detection and minimum error replacement[J]. , 2015,30(1): 151-156
刘久文, 潘峰, 李军. 结合图像边缘检测和最小误差替换的隐写方案[J]. 液晶与显示, 2015,30(1): 151-156 DOI： 10.3788/YJYXS20153001.0151.

LIU Jiu-wen, PAN Feng, LI Jun. Steganography based on edge detection and minimum error replacement[J]. , 2015,30(1): 151-156 DOI： 10.3788/YJYXS20153001.0151.

摘要

为了实现大容量、低感知度的数字图像隐写

根据人眼视觉系统对图像边缘变化不敏感的特点

提出一种结合图像多尺度边缘检测和最小误差替换的自适应算法.简单介绍了常用的图像边缘检测算法以及Canny算子

而后通过利用Canny算子检测图像边缘像素.再按一定比例将秘密信息分别嵌入到边缘像素和普通像素中

并对比选用不同嵌入比例时算法的隐写容量和峰值信噪比差异

选定合适的嵌入比例.最后采用最小误差替换方法修正图像峰值信噪比

降低图像失真度

并对比算法针对不同载体时的嵌入容量和峰值信噪比.实验结果表明:以图片"Baboon"作为载体按4:1嵌入比例隐写秘密信息时

本方案嵌入容量为525 612 bit

载秘图像峰值信噪比为41.3 dB.该算法不仅隐写容量十分可观

而且失真度小

计算简单

易于实现.

Abstract

In order to realize a image steganography with a high hiding capacity and undetectability

based on the fact that the changes in image edges are insensitive to human eyes

a novel adaptive algorithm employing multiple edge detection and Minimum Error Replacement (MER) is presented. By Canny operator

large numbers of edge pixels are picked out and the secret information can be embeded into the edge pixels and common pixels to a certain proportion. To compensate for the resulting decrease in the Peak Signal to Noise Ratio (PSNR)

MER method is used. Experimental results indicate that when the Baboon is chosen as cover image and the proportion of embedding the secret information is 4:1

the hiding capacity is 525 612 bit and PSNR is 41.3 dB. This algorithm not only has a high hiding capacity and good visual qualities

but also easy to carry out.

关键词

Keywords

references

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