A reversible steganographic scheme for VQ indices based on locally adaptive coding

Kieu, The Duc; Rudder, Andrew; Goodridge, Wayne

doi:10.1016/j.jvcir.2014.06.001

Cited by 4 publications

(2 citation statements)

References 27 publications

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“…Information hiding techniques can be applied to three domains, namely the spatial [12][13][14], frequency (or transformed) [15,16], and compressed [17][18][19][20][21][22] domains. In the spatial domain, information is hidden by modifying the amplitudes of the pixel values whereas in the frequency domain it is achieved by modifying the transformed coefficients.…”

Section: Introductionmentioning

confidence: 99%

A Lossless Data Hiding Scheme for VQ Indexes Based on Joint Neighboring Coding

Rudder¹

2015

KSII TIIS

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Designing a new reversible data hiding technique with a high embedding rate and a low compression rate for vector quantization (VQ) compressed images is encouraged. This paper proposes a novel lossless data hiding scheme for VQ-compressed images based on the joint neighboring coding technique. The proposed method uses the difference values between a current VQ index and its left and upper neighboring VQ indexes to embed n secret bits into one VQ index, where n = 1, 2, 3, or 4. The experimental results show that the proposed scheme achieves the embedding rates of 1, 2, 3, and 4 bits per index (bpi) with the corresponding average compression rates of 0.420, 0.483, 0.545, and 0.608 bit per pixel (bpp) for a 256 sized codebook. These results confirm that our scheme performs better than other selected reversible data hiding schemes.

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Section: Introductionmentioning

confidence: 99%

A Lossless Data Hiding Scheme for VQ Indexes Based on Joint Neighboring Coding

Rudder¹

2015

KSII TIIS

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“…Data hiding techniques can be applied to three domains when using digital images as cover objects, namely the spatial [11,15,27], frequency [5,32], and compressed [4,14,17,23,24,26] domains. The techniques in the spatial domain hide information by adjusting the magnitudes of the pixel values in an image.…”

mentioning

confidence: 99%

A reversible steganographic scheme for VQ indices based on joint neighboring and predictive coding

Rudder

2015

Multimed Tools Appl

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In this paper, we propose a novel reversible steganographic technique to embed secret data into digital images compressed using vector quantization (VQ). The proposed method is based on joint neighboring and predictive coding. The proposed technique can embed n secret bits into one VQ index, where n=1, 2, 3, and 4. Our method uses left and upper neighboring VQ indexes and the difference between the current VQ index and the predicted value produced by the median edge detector predictor to achieve a low bit rate. The experimental results show that the proposed approach obtains embedding rates of 1, 2, 3, and 4 bits per index (bpi) with respective average bit rates of 0.409, 0.471, 0.534, and 0.596 bit per pixel (bpp) for a 256 sized codebook. This confirms that the proposed scheme outperforms three similar reversible data hiding schemes in VQ-compressed domain.

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Video stream processing using steganographic information concealing method

Cherckesova,

Safaryan,

Zhdanova

et al. 2024

Optoelectronic Imaging and Multimedia Technology XI

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Research in the field of steganographic methods of information hiding in order to remain undetectable both statistically and for human perception is relevant, since using such files it is possible to hide various information using such content as container. During the investigation, the algorithms for embedding information in video stream were considered. Based on this, the method of embedding information into video file was chosen, specifically the process of writing characters of source text into the pixels of frames obtained from the video file. Key application in the software is defined also. The implementation of software tool for the process of hiding and extracting information in video stream to ensure the safe transmission of hidden information is the result of this article.

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A reversible steganographic scheme for VQ indices based on locally adaptive coding

Cited by 4 publications

References 27 publications

A Lossless Data Hiding Scheme for VQ Indexes Based on Joint Neighboring Coding

A Lossless Data Hiding Scheme for VQ Indexes Based on Joint Neighboring Coding

A reversible steganographic scheme for VQ indices based on joint neighboring and predictive coding

Video stream processing using steganographic information concealing method

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