一种基于DCT和LSB的图像隐写新方法

A. Sheidaee, Leili Farzinvash
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引用次数: 13

摘要

图像隐写术是研究在不扭曲图像视觉质量的情况下,在图像中嵌入敏感信息。本文提出了一种有效的图像隐写算法,将秘密图像嵌入到封面图像中。在这个方案中,秘密图像是加密的,它指的是用离散余弦变换(DCT)组合对秘密数据进行转换,并通过密钥保护其哈希文件。通过这种方法,将嵌入图像与其HMAC文件一起转换成隐写方法中称为随机噪声的类噪声密码图像。合成图像的随机性降低了人类视觉系统(HVS)和隐写分析技术检测图像的可能性。然后,采用LSB替换法将变换后的图像嵌入到封面图像中。为了在接收端验证图像,使用LSB方法将秘密图像的HMAC嵌入到封面图像中。仿真结果验证了该算法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A novel image steganography method based on DCT and LSB
Image steganography is the study of embedding sensitive information in images without distorting their visual quality. In this paper, we have proposed an efficient image steganography algorithm to embed the secret image in the cover image. In this scheme, the secret image is encrypted that refers to the transformation of the secret data with Discrete Cosine Transform (DCT) compound with its hash file that is secured by a secret key. By this means, the embedded image is transformed into a noise-like cipher image called random noise in steganography methods with its HMAC file. The randomness property of the resultant image reduces the possibility of its detection by the human visual system (HVS) and steganalysis techniques. Next, LSB substitution method is employed to embed the transformed image in the cover image. To authenticate the image at the receiver side, the HMAC of the secret image is embedded in the cover image using LSB method. Simulation results have verified the effectiveness of the proposed algorithm.
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