基于离散余弦变换系数和频带选择的可逆信息隐藏算法在 JPEG 图像加密中的应用研究

IF 0.6 Q4 AUTOMATION & CONTROL SYSTEMS
Yingwei Gao
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引用次数: 0

摘要

摘要 随着数字媒体的发展,其安全性也得到了重视,可逆数据隐藏(RDH)算法也得到了广泛的研究。本文研究了 JPEG 图像的 RDH 算法,设计了一种基于离散余弦变换(DCT)系数的频带选择嵌入秘密信息的方法,称为改进的 RDH(IRDH)算法,并在 USC-SIPI 图像集上进行了实验。实验发现,与其他方法相比,所设计的 RDH 算法具有更高的嵌入容量,在量化因子 = 50 时的平均嵌入容量为 37 031 比特,并且具有更高的峰值信噪比(PSNR)值和更低的文件大小增加值(FSI);该算法所获得数据的分散度也很低。结果证明了 IRDH 算法在 JPEG 图像上的可靠性,可以在实践中推广和应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study on Applications of Reversible Information Hiding Algorithms Based on Discrete Cosine Transform Coefficient and Frequency Band Selection in JPEG Image Encryption

Study on Applications of Reversible Information Hiding Algorithms Based on Discrete Cosine Transform Coefficient and Frequency Band Selection in JPEG Image Encryption

Study on Applications of Reversible Information Hiding Algorithms Based on Discrete Cosine Transform Coefficient and Frequency Band Selection in JPEG Image Encryption

With the development of digital media, its security has also been emphasized, and reversible data hiding (RDH) algorithms has been widely studied. This paper studied RDH algorithms for JPEG images, designed a method to embed secret information by frequency band selection based on discrete cosine transform (DCT) coefficients, called an improved RDH (IRDH) algorithm, and conducted experiments on the USC-SIPI image set. It was found that the designed RDH algorithm had a higher embedding capacity, with an average embedding capacity of 37 031 bits at quantization factor = 50, as well as a higher peak signal-to-noise ratio (PSNR) value and a lower file size increase (FSI) value, compared with the other methods; the dispersion degree of the data obtained by this algorithm was also low. The results demonstrate the reliability of the IRDH algorithm on JPEG images, which can be extended and applied in practice.

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来源期刊
AUTOMATIC CONTROL AND COMPUTER SCIENCES
AUTOMATIC CONTROL AND COMPUTER SCIENCES AUTOMATION & CONTROL SYSTEMS-
CiteScore
1.70
自引率
22.20%
发文量
47
期刊介绍: Automatic Control and Computer Sciences is a peer reviewed journal that publishes articles on• Control systems, cyber-physical system, real-time systems, robotics, smart sensors, embedded intelligence • Network information technologies, information security, statistical methods of data processing, distributed artificial intelligence, complex systems modeling, knowledge representation, processing and management • Signal and image processing, machine learning, machine perception, computer vision
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