基于加密图像的可逆数据隐藏使用可逆图像转换

Stanzin Namkha, Himansu Sekhar Pattanayak
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引用次数: 0

摘要

近年来,随着人们对云计算的认识不断加深,数据外包已经成为一种被广泛使用的服务。此外,为了保护敏感数据的隐私和安全性,在将数据外包到云之前对其进行加密非常重要。由于这些需求,加密图像中的可逆数据隐藏(RDH-EI)受到了研究人员的极大兴趣。本文提出了一种与传统RDH-EI技术不同的基于可逆图像转换的RDH-EI新技术。该方法不生成和存储容易引起入侵者或黑客注意的难以理解的加密图像(密码生成图像),而是允许用户将原始图像的语义内容转换为自由选择的相同大小的目标图像的语义内容。利用平均绝对偏差在原始图像和目标图像之间进行图像块映射,并根据原始图像块和目标图像块的平均绝对偏差值排序后,分别将图像块分组为0或1两个不均匀比例,采用压缩技术减少图像块位置信息。与现有方法的比较表明,该方法具有较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Encrypted Image based Reversible Data hiding using Invertible Image Conversion
In recent years, with the growing recognition of cloud computing, data outsourcing has become a widely used service. Also, to preserve privacy and security of sensitive data, it is important to encrypt the data before outsourcing it to the cloud. Due to such requirements, reversible data hiding in encrypted image (RDH-EI) has received significant interest from the researchers. In this paper, a new technique for RDH- EI is suggested based on invertible image conversion unlike the conventional RDH-EI techniques. In this method, instead of generating and storing the encrypted image in unintelligible form (cipher formed image) which may easily attract the attention of intruders or hackers, it allows the user to convert the semantical content of original image into the semantical content of a freely selected target image of the same size. Image block mapping is performed between original and target images using mean absolute deviation and a compression technique is applied for reducing the information of image block position by grouping the blocks into two uneven proportion i.e. 0 or 1 based on the sorted mean absolute deviation value for both original and target image blocks respectively. Comparison with the existing techniques shows that the proposed method yields better results.
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