为提高密文域可逆信息隐藏(reversible data hiding in encrypted images,RDH-EI)的嵌入容量,提出了一种基于自适应MSB(most significant bit)与差值预测的RDH-EI方案。首先将图像进行分块,然后进行块级加密和置乱以抵抗对于加密图像的...为提高密文域可逆信息隐藏(reversible data hiding in encrypted images,RDH-EI)的嵌入容量,提出了一种基于自适应MSB(most significant bit)与差值预测的RDH-EI方案。首先将图像进行分块,然后进行块级加密和置乱以抵抗对于加密图像的分析。在嵌入数据阶段,对于自适应MSB预测的方法进行改进,将没有嵌入数据的块,利用部分块内像素之间差值很小的特点采用自适应差值预测的方法嵌入数据,以块中左上角像素为目标像素,用于预测其他像素从而腾出更多的嵌入空间。实验结果表明,所提方法具有可逆性和可分离性,并且在自适应MSB预测方法的基础上进一步提高了嵌入容量,对于512×512大小的灰度图像,平均嵌入容量提高了大约7445 bit。展开更多
This paper presents a robust color image hiding method based on YCbCr color system in discrete cosine transform （DOT） domain,which can hide a secret color image behind a public color cover image and is compatible wi...This paper presents a robust color image hiding method based on YCbCr color system in discrete cosine transform （DOT） domain,which can hide a secret color image behind a public color cover image and is compatible with the international image compression standard of JPEG. To overcome the grave distortion problem in the restored secret image,this paper proposes a new embedding scheme consisting of reasonable partition of a pixel value and sign embedding. Moreover, based on human visual system （HVS） and fuzzy theory,this paper also presents a fuzzy classification method for DOT sub-blocks to realize the adaptive selection of embedding strength. The experimental results show that the maximum distortion error in pixel value for the extracted secret image is ±1. And the color cover image can provide good quality after embedding large amount of data.展开更多
Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and robustness.In this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey ...Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and robustness.In this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey relational analysis in the Discrete Cosine Transform(DCT) domain is proposed.First,this algorithm compresses the secret image losslessly based on the improved grey prediction GM(1,1)(IGM) model.It then chooses the blocks of rich texture in the cover image as the embedding regions using Double-dimension Grey Relational Analysis(DGRA).Finally,it adaptively embeds the compressed secret bits stream into the DCT domain mid-frequency coefficients,which are decided by those blocks' Double-Dimension Grey Correlation Degree(DGCD) and Human Visual System(HVS).This method can ensure an adequate balance between invisibility,capacity and robustness.Experimental results show that the proposed algorithm is robust against JPEG compression(46.724 6 dB when the compression quality factor is 90%),Gaussian noise(45.531 3 dB when the parameter is(0,0.000 5)) etc.,and it is a blind information hiding algorithm that can be extracted without an original carrier.展开更多
文摘为提高密文域可逆信息隐藏(reversible data hiding in encrypted images,RDH-EI)的嵌入容量,提出了一种基于自适应MSB(most significant bit)与差值预测的RDH-EI方案。首先将图像进行分块,然后进行块级加密和置乱以抵抗对于加密图像的分析。在嵌入数据阶段,对于自适应MSB预测的方法进行改进,将没有嵌入数据的块,利用部分块内像素之间差值很小的特点采用自适应差值预测的方法嵌入数据,以块中左上角像素为目标像素,用于预测其他像素从而腾出更多的嵌入空间。实验结果表明,所提方法具有可逆性和可分离性,并且在自适应MSB预测方法的基础上进一步提高了嵌入容量,对于512×512大小的灰度图像,平均嵌入容量提高了大约7445 bit。
基金This workis partially supported by National Science Foundation(Grant No.A0324676)
文摘This paper presents a robust color image hiding method based on YCbCr color system in discrete cosine transform （DOT） domain,which can hide a secret color image behind a public color cover image and is compatible with the international image compression standard of JPEG. To overcome the grave distortion problem in the restored secret image,this paper proposes a new embedding scheme consisting of reasonable partition of a pixel value and sign embedding. Moreover, based on human visual system （HVS） and fuzzy theory,this paper also presents a fuzzy classification method for DOT sub-blocks to realize the adaptive selection of embedding strength. The experimental results show that the maximum distortion error in pixel value for the extracted secret image is ±1. And the color cover image can provide good quality after embedding large amount of data.
基金sponsored by the National Natural Science Foundation of China under Grants No.61170065,No.61003039,No.61202355the Science and Technology Support Project of Jiangsu under Grant No.BE2012183+4 种基金the Natural Science Key Fund for Colleges and Universities in Jiangsu Province under Grant No.12KJA520002the Postdoctoral Fund under Grants No.1101011B,No.2012M511753the Fund for Nanjing University of Posts and Telecommunications under Grant No.NY212047Fund of Jiangsu Computer Information Processing Technology Key Laboratory under Grant No.KJS1022the Priority Academic Program Development of Jiangsu Higher Education Institutions under Grant No.yx002001
文摘Traditional information hiding algorithms cannot maintain a good balance of capacity,invisibility and robustness.In this paper,a novel blind colour image information hiding algorithm based on grey prediction and grey relational analysis in the Discrete Cosine Transform(DCT) domain is proposed.First,this algorithm compresses the secret image losslessly based on the improved grey prediction GM(1,1)(IGM) model.It then chooses the blocks of rich texture in the cover image as the embedding regions using Double-dimension Grey Relational Analysis(DGRA).Finally,it adaptively embeds the compressed secret bits stream into the DCT domain mid-frequency coefficients,which are decided by those blocks' Double-Dimension Grey Correlation Degree(DGCD) and Human Visual System(HVS).This method can ensure an adequate balance between invisibility,capacity and robustness.Experimental results show that the proposed algorithm is robust against JPEG compression(46.724 6 dB when the compression quality factor is 90%),Gaussian noise(45.531 3 dB when the parameter is(0,0.000 5)) etc.,and it is a blind information hiding algorithm that can be extracted without an original carrier.
