基于Logistic序列与LDPC码的图像隐藏算法研究
发布时间：2019-06-29 20:18
【摘要】：近年来,随着互联网的不断发展,图像在网络通信中扮演着愈发重要的角色,互联网的开放性也对图像信息的安全传输提出了新的要求。基于信道编码的信息隐藏技术是一种新的信息安全传输技术,其中,基于伪随机序列的信道编码图像隐藏技术是近些年的研究热点,但其存在信息覆盖和秘密信息嵌入位置不均匀的问题。本文提出了一种基于Logistic序列与LDPC码的图像隐藏算法。针对LDPC码低信噪比时译码复杂度较高的问题,提出改进的BP译码算法,通过引入校验子在连续三次迭代过程中是否稳定来判定是否结束译码过程;针对在信息传递过程连乘运算易使数据溢出的问题,通过加入数据约束,保证相乘的信息在其表示范围内,从而避免了数据的溢出。将Logistic序列引入到基于信道编码的图像隐藏的嵌入算法中,提出利用3组密钥产生3个相应长度的Logistic序列并对其进行升序排列,得到相应的位置转换矩阵,利用这3个位置转换矩阵分别实现对秘密图像信息的加密和秘密图像信息的嵌入。实验表明,本文改进的算法相较于其他算法对图像具有较好的隐藏效果,可以很好的解决信息覆盖和嵌入位置不均匀的问题,在一定程度上平衡了安全性、不可见性和复杂度的问题。
[Abstract]:In recent years, with the continuous development of the Internet, images play a more and more important role in network communication. The openness of the Internet also puts forward new requirements for the secure transmission of image information. The information hiding technology based on channel coding is a new information security transmission technology. Among them, the channel coding image hiding technology based on pseudorandom sequence is a hot research topic in recent years, but it has the problem of uneven information coverage and secret information embedding position. In this paper, an image hiding algorithm based on Logistic sequence and LDPC code is proposed. In order to solve the problem that the decoding complexity of LDPC codes is high when the SNR is low, an improved BP decoding algorithm is proposed to determine whether the decoding process is over or not by introducing whether the verifier is stable in the continuous three iterations. In order to solve the problem that the data overflow is easy to be caused by the multiplication operation in the process of information transmission, the multiplied information is guaranteed to be within its representation range by adding data constraints, thus avoiding the overflow of the data. The Logistic sequence is introduced into the embedding algorithm of image hiding based on channel coding. Three sets of keys are used to generate three Logistic sequences of corresponding length and arrange them in ascending order, and the corresponding position conversion matrix is obtained. the encryption of secret image information and the embedding of secret image information are realized by using these three position conversion matrices. The experimental results show that the improved algorithm has a better hiding effect on the image than other algorithms, and can solve the problem of uneven information coverage and embedding position, and balance the problems of security, invisibility and complexity to a certain extent.
【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.22
[Abstract]:In recent years, with the continuous development of the Internet, images play a more and more important role in network communication. The openness of the Internet also puts forward new requirements for the secure transmission of image information. The information hiding technology based on channel coding is a new information security transmission technology. Among them, the channel coding image hiding technology based on pseudorandom sequence is a hot research topic in recent years, but it has the problem of uneven information coverage and secret information embedding position. In this paper, an image hiding algorithm based on Logistic sequence and LDPC code is proposed. In order to solve the problem that the decoding complexity of LDPC codes is high when the SNR is low, an improved BP decoding algorithm is proposed to determine whether the decoding process is over or not by introducing whether the verifier is stable in the continuous three iterations. In order to solve the problem that the data overflow is easy to be caused by the multiplication operation in the process of information transmission, the multiplied information is guaranteed to be within its representation range by adding data constraints, thus avoiding the overflow of the data. The Logistic sequence is introduced into the embedding algorithm of image hiding based on channel coding. Three sets of keys are used to generate three Logistic sequences of corresponding length and arrange them in ascending order, and the corresponding position conversion matrix is obtained. the encryption of secret image information and the embedding of secret image information are realized by using these three position conversion matrices. The experimental results show that the improved algorithm has a better hiding effect on the image than other algorithms, and can solve the problem of uneven information coverage and embedding position, and balance the problems of security, invisibility and complexity to a certain extent.
【学位授予单位】：河北大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.22
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