Partial-duplicate image retrieval based on HSV colour space for coverless information hiding
by Ningsheng Zhao; Zhili Zhou; Lingzhi Liao
International Journal of Computational Science and Engineering (IJCSE), Vol. 19, No. 1, 2019

Abstract: In conventional image steganography approaches, modification traces will be left in the designated cover images. Consequently, the secret information could be possibly detected by steganalysis tools. In this paper, a coverless image steganography approach based on partial-duplicate image retrieval is proposed to hide images without modification. First, we divide equally any given query or database image into a set of image blocks. Then, for a given query image, we search for its partial-duplicate images in a large-scale database according to the similarity between the HSV colour features of image blocks. Finally, these retrieved partial-duplicate images are used to represent and hide the secret image. Moreover, we propose an encryption algorithm based on chaotic maps to ensure the security of our approach. Both the theoretical analysis and experimental results demonstrate that the proposed coverless image steganography approach has good security, high robustness and strong resistance to the existing steganalysis tools.

Online publication date: Mon, 20-May-2019

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