Title: A novel high capacity turtle shell-based data hiding with location table free

Authors: Jiang-Yi Lin; Yu Chen; Chin-Chen Chang; Yu-Chen Hu

Addresses: School of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China; Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan ' School of Information Science and Engineering, Fujian University of Technology, Fuzhou 350118, China ' Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan ' Department of Computer Science and Information Management, Providence University, Taichung 43301, Taiwan

Abstract: In this paper, we design a novel turtle shell based data hiding scheme. The proposed scheme starts by constructing a novel reference matrix based on the original turtle shell matrix. Without any overhead messages, the secret data can be concealed in the pixel pairs selected from the cover image and would be correctly extracted according to the characteristic of the reference matrix in a 4 × 5 block. Experimental results demonstrate that the proposed scheme can achieve a high embedding capacity of 2 bit per pixel (bpp). The experimental comparison also reveals that the proposed scheme is superior to some existing data hiding schemes subject to the peak signal-to-noise ratio measurement. Meanwhile, it has good performance on resisting the statistical attack of pixel-value differencing (PVD) histogram.

Keywords: data hiding; high capacity; reference matrix; pixel-value differencing; PVD.

DOI: 10.1504/IJCSE.2020.107264

International Journal of Computational Science and Engineering, 2020 Vol.22 No.1, pp.135 - 145

Received: 13 Nov 2018
Accepted: 29 May 2019
Published online: 11 May 2020 *

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