Reversible data hiding for high quality images exploiting interpolation and direction order mechanism

Wang, Xingtian; Chang, Chin‐Chen; Nguyen, Thai-Son; Li, Mingchu

doi:10.1016/j.dsp.2012.06.015

Cited by 84 publications

(25 citation statements)

References 20 publications

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“…Using the idea of reference pixel and multilayer hiding, Zeng et al presented a Reversible Data Hiding Scheme (RDHS) based on the pixel difference histogram shifting to spare space for embedding secret information [15]. Based on image interpolation and direction order mechanism, Wang et al proposed a reversible data hiding for high quality images in spatial domain [16]. Qian et al presented a framework of reversible information hiding method in an encrypted JPEG bitstream [17].…”

Section: Introductionmentioning

confidence: 99%

“…The proposed information hiding methods can also be classified into two kinds, such as irreversible information hiding schemes (e.g., [6][7][8][9][10]) and reversible information hiding algorithms (e.g., [11][12][13][14][15][16][17][18][19][20]). Irreversible steganographic techniques may generally obtain better embedding capacity and higher image quality.…”

Section: Introductionmentioning

confidence: 99%

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Reversible and adaptive image steganographic method

Tang

Song

et al. 2015

AEU - International Journal of Electronics and Communications

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Reversible and adaptive image steganographic method

Tang

Song

et al. 2015

AEU - International Journal of Electronics and Communications

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“…However, the average embedding capacity of their scheme was quite a bit lower than 0.1 bpp for a single embedding level, because the reference pixels or reference sub-images were not used for embedding data. Many reversible, histogram-based data hiding schemes [9]- [12] have been proposed to further improve the quality of the stego images and the embedding capacity provided by Ni et al's scheme.…”

Section: Introductionmentioning

confidence: 99%

Reversible Data Hiding Using Pixel Order Exchange

Wu¹,

Chang²,

Nguyen³

2017

IJFCC

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Abstract-Reversible data hiding is a technique that extracts secret data exactly and recovers the cover image completely. Many reversible data hiding schemes have been proposed in the literature for various goals. However, many drawbacks are discovered in these schemes, which are low visual quality, limited embedding capacity and a large size of the location map. In this paper, we propose a new reversible data hiding scheme using pixel order exchange to enhance the embedding capacity and the visual quality of the stego image. In addition, the size of the location map in our proposed scheme is very small. In the proposed scheme, the cover image is processed first. Then, the order of pixels in a pair is exchanged to embed secret data, while guaranteeing only a small distortion of the stego image. Our experimental results indicated that the proposed scheme provides larger embedding capacity and better image quality than some previous schemes.Index Terms-Reversible data hiding, pixel order exchange, good image quality, high embedding capacity.

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“…Wang et al [15] proposed RDH technique in spatial domain for enhancing the image quality by classifying elements as wall and non-wall pixels. Yalman and Akar [16] proposed a novel method for hiding and increased payload up to 6, 02,406 bits at rate of 0.766 bpp for color image of Lena with PSNR 42.43dB and further data hiding capacity can be increased by applying NMI more than once.…”

Section: Introductionmentioning

confidence: 99%

13/9 Lifting Wavelet Transform based Reversible Data Hiding

Subash¹,

Prasad²,

Sumalatha³

2018

IJCA

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In this paper a novel 13/9 lifting scheme for hiding data has been implemented. Lifting schemes are the part of wavelet transformation which decomposes image into wavelet coefficients using basis function for analyzing multiresolution images. Lifting scheme is preferred for data hiding because the operations are performed in spatial domain by simple LSB replacement. The 13/9 lifting scheme contains 13 low pass and 9 high pass coefficients. As more information in image lies at low frequency components, 13/9 implemented lifting scheme contains 13 low-frequency components, whereas 5/3 lifting scheme contains 5 low frequencies and 9/7 lifting scheme contains 9 low frequencies. Simulation results show that the payload and average PSNR are increased than the existing methods with the PSNR 58.17 dB at bit rate of 0.05 for Lena image.

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Reversible data hiding for high quality images exploiting interpolation and direction order mechanism

Cited by 84 publications

References 20 publications

Reversible and adaptive image steganographic method

Reversible and adaptive image steganographic method

Reversible Data Hiding Using Pixel Order Exchange

13/9 Lifting Wavelet Transform based Reversible Data Hiding

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