提出了一种基于宿主图像离散余弦变换(DCT)的复值加密图像隐藏技术, 待隐藏图像经双随机相位编码后的复值加密图像按一定规律隐藏在放大的宿主图像的离散余弦变换系数中。在提取隐藏图像过程中, 利用相邻像素相减(NPVS)算法对藏有信息的宿主图像离散余弦变换系数进行运算, 提取出隐藏的复值加密图像。经过正确的双随机相位解码, 可获得原隐藏图像。研究了不同嵌入权重因子ω下藏有信息的宿主图像和解码后隐藏图像的各自相关度, 分析了在ω=0.2情况下藏有信息的宿主图像的剪切对提取的隐藏图像质量的影响和基于数字全息的三维物体信息隐藏, 结果表明该图像隐藏技术隐藏信息量大, 抗剪切能力强, 保密性好。

A new complex encrypted image hiding technology based on discrete cosine transform (DCT) is presented. The complex encrypted image acquired by encoding the image to be hidden with double random phase is embedded in the DCT domain of the enlarged host image by rule. With neighbor pixel value subtraction (NPVS) algorithm, the hidden complex encrypted image is extracted from the coefficients of the host image hiding information transformed by IDCT and the original hidden image is restored with the correct double random phases. The correlation value of the host image hiding information and the decoded hidden image are studied with different embedding factor ω. The effect on the decoded hidden image is analyzed as the host image hiding information is cut by different occlusion and the three-dimensional object information hiding based on digital holography are also numerically simulated with ω=0.2. The results indicate that this image hiding technology has large capacity hidden information, robust anti-cut capacity and good security characteristic.