摘要
钻石编码的隐写方式是按照图像像素顺序进行秘密信息的嵌入。针对提高隐写图像安全性和图像质量两方面进行了研究,提出了一种根据图像特征分布隐写的方法即基于Prewitt边缘检测的钻石编码(DE)隐写算法。此方法将原始图像通过Prewitt边缘检测方法进行处理,将图像划分轮廓部位和非轮廓部位;通过钻石编码将不同嵌入参数k的秘密信息分别嵌入到原始图像的轮廓部位和非轮廓部位,以提高图像的质量和安全性。实验结果表明,与其他方法相比,Prewitt DE12和Prewitt DE22算法在嵌入有效载荷和图像质量方面更加有效。以峰值信噪比(PSNR)衡量图像质量,Prewitt DE12和Prewitt DE22的PSNR值都在50 d B以上;以最小平均决策误差来分析,Prewitt DE12和Prewitt DE22的最小平均决策误差在总体上高于之前的隐写算法。
The steganography of diamond encodings is the embedding of secret information in order of image pixels.In order to improve the security of steganographic image and image quality,this paper proposed a steganographic algorithm based on Prewitt edge detection,which was based on image feature distribution steganography.Firstly,this algorithm processed the original image by the Prewitt edge detection method,and divided the image into contour and non-contour.Then,it embedded the secret information of different embedding parameters in the contour and non-contour parts of the original image by diamond coding to improve the quality and security of the image.Experimental results show that the proposed algorithm is more effective than the other methods in embedding payload and image quality.The PSNR values of PrewittDE12 and PrewittDE22 presented in this paper are more than 50 dB.The minimum average decision error of PrewittDE12 and PrewittDE22 is higher than that of previous steganographic algorithm.
作者
黄颖
李婉佳
Huang Ying;Li Wanjia(School of Computer Science&Technology,Chongqing University of Posts&Telecommunications,Chongqing 400065,China;School of Software Engineering,Chongqing University of Posts&Telecommunications,Chongqing 400065,China;Chongqing Engineering Research Center for Software Quality Assurance,Testing&Evaluation,Chongqing 400065,China)
出处
《计算机应用研究》
CSCD
北大核心
2018年第4期1187-1190,1196,共5页
Application Research of Computers
基金
重庆市教委科学技术研究项目(KJ1400408)
重庆市基础与前沿研究计划项目(cstc2014jcyj A40043)
国家自然科学基金资助项目(61572092)
2015年重庆市研究生科研创新项目
重庆邮电大学文峰骨干教师培养项目
