Reversible Image Hiding Scheme for High Quality Based on Histogram Shifting

Kim, Dae-Soo; Lee, Gil-Je; Yoo, Kee-Young

doi:10.1109/itng.2013.61

Cited by 4 publications

(1 citation statement)

References 11 publications

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“…Furthermore, Kim et al 17 proposed a gradient-adjusted prediction (GAP) and modulo operation–based solution to provide superior image quality and large capacity. However, the reversibility of the proposed scheme still replies on the existence of zero value points in the histogram.…”

Section: Related Workmentioning

confidence: 99%

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Tang

Zhou

Liu

et al. 2020

International Journal of Distributed Sensor Networks

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Histogram shifting is an effective manner to achieve reversible watermarking, which works by shifting pixels between the peak point and its nearest zero point in histogram to make room for watermark embedding. However, once zero point is absent, the algorithm suffers from overflowing problem. Even though some works attempt to deal with this risk by introducing auxiliary information, such as a location map, they occupy a lot of embedding capacity inevitably. In this article, in order to deal with overflowing problem efficiently, we propose a border following–based reversible watermarking algorithm for images. With the help of border following algorithm and pre-processing, available regions with at least one zero point are recognized to embed watermark so that auxiliary information is not needed any more. And the algorithm utilized also ensures the same border can be re-recognized from the watermarked image without error, thus the correctness is also guaranteed. The performance of the proposed algorithm is evaluated using classic image datasets in this area, and the results not only validate the effectiveness of the proposed algorithm but also indicate its advantages compared with the classic histogram shifting–based reversible watermarking algorithm as well as the state of the art.

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Section: Related Workmentioning

confidence: 99%

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Tang

Zhou

Liu

et al. 2020

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

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Reversible data hiding by adaptive group modification on histogram of prediction errors

2016

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A novel data hiding method by using a chaotic system without equilibrium points

2019

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In this paper, we investigate how special is the choice of parameter values in the three-dimensional nonlinear system, proposed by Akgul and Pehlivan (2016), in producing a system, which exhibits chaos but has no real equilibrium states. Also, a data hiding method with a three-dimensional chaotic system without equilibrium point, developed by Akgul and Pehlivan, is realized. Numerous encryption studies have recently been made based on chaos. Encryption processes that are used with chaos bring about some security deficiencies in some cases. Steganography, unlike encryption studies, helps communicate the secret data by hiding it in an innocent-looking cover in order to avoid detection by third parties at first glance. In this work, a novel chaos-based data hiding method that hides an image with a different color into color images is proposed. Via the proposed method, data are hidden in bit spaces with the help of the chaotic random number generator (RNG). The generated random numbers are found with a chaotic system without equilibrium point, which is new in the literature. Shilnikov method cannot be applied to find whether the system is chaotic or not because they cannot have homoclinic or heteroclinic orbits. Thus, it can be useful in several engineering applications, especially in chaos-based cryptology and coding information. In the study, bits are hidden in pixels indicated by numbers generated by RNG. As the order of the hiding process is made randomly on a chaotic level, it has made data hiding algorithm stronger. The proposed method hides the data in cover image in such a way that it cannot be easily detected. Furthermore, the proposed method has been evaluated with steganalysis methods and image distortion measurement method PSNR. The chaos-based steganography method realized here has produced more best results in image distortion measurement method PSNR than other studies in the literature.

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Reversible Image Hiding Scheme for High Quality Based on Histogram Shifting

Cited by 4 publications

References 11 publications

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Border following–based reversible watermarking algorithm for images with resistance to histogram overflowing

Reversible data hiding by adaptive group modification on histogram of prediction errors

A novel data hiding method by using a chaotic system without equilibrium points

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