基于进制转换的DCT域信息隐藏算法

Information Hiding Algorithms in DCT Domain Based on Binary Conversion

为了提升基于分块离散余弦变换(Discrete Cosine Transform,DCT)的信息隐藏容量,提出了一种基于进制转换的思想来提升秘密信息隐藏容量。该算法是针对秘密信息进行研究,将原本的二值信息进行进制转换,对秘密信息进行数据压缩,进而提升数据隐藏的容量。通过实验仿真,结果表明,载体像素大小为512×512的灰度图像的容量为原来隐藏容量的2倍,提取的秘密信息归一化系数为0.997。

In order to improve the capacity of information hiding based on Discrete Cosine Transform(DCT),a new idea based on binary transformation is proposed to enhance the capacity of secret information hiding.This algorithm aims at the research of secret information,converts the original binary information into binary information,compresses the secret information,and then enhances the capacity of data hiding.The simulation results show that the capacity of the gray-scale image with 512×512 pixels is twice the original hiding capacity,and the normalization coefficient of the extracted secret information is 0.997.