一种基于Canny边缘检测的隐写算法
steganography algorithm based on canny edge detection
钻石编码通过像素对嵌入提高嵌入率和安全性,通常情况在一幅图像的所有部分使用相同嵌入率嵌入秘密信息,而事实上从图像本身来看,在图像中的不同区域嵌入不同信息量的信息可以在保持安全性的前提下提高嵌入率。通过钻石编码与Canny边缘检测算法相结合,将图像分为轮廓和非轮廓区域,在轮廓区域使用较小的嵌入率,在非轮廓区域使用较大的嵌入率。按照嵌入率的不同,提出了三种嵌入方式CANNYDE11,CANNYDE12和CANNYDE22。从感知度与安全分析的实验中,CANNYDE算法与LSB替换、LSB匹配、钻石编码算法、自适应边缘检测算法相比在相同嵌入率的情况下,Markov安全测度和SPAM安全性指标有一定程度的提高,通过PSNR指标衡量也说明具有较好的感知效果。
iamond encoding (DE) increases the embedding capacity and stego image security through pixel pair embedding. In traditional DE methods, all the pixels of an image conceal confidential information with the same embedding rate, but actually different area can conceal different capacity of confidential information to improve embedding rate. In order to get better stego image, it is divided into contour and non-contour area by canny edge detection and different regions embed information with different embedding rate. The principle of embedding process is that smaller embedding rate is used in contour area and larger in non-contour area. According to the different embedding rate, three methods are presented here, named CANNYDE11, CANNYDE12 and CANNYDE22 method separately. Experiments proves that CANNYDE algorithms outperform other algorithms such as LSB replacement, random LSB matching, the DE algorithm and adaptive edge detection algorithm with the Markov security indicator and SPAM security measure, and they also have a good perceptual effect through PSNR measure.
杨明、黄颖
电子技术应用
图像隐写钻石编码anny边缘检测Markov安全测度SPAM特征提取
image steganographydiamond encodingcanny edge detectionMarkov security measureSPAM feature extraction
杨明,黄颖.一种基于Canny边缘检测的隐写算法[EB/OL].(2016-12-15)[2025-08-04].http://www.paper.edu.cn/releasepaper/content/201612-292.点此复制
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