Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization

Shiau Rung Tsui; Cheng Ta Huang; Wei Jen Wang

doi:10.1007/978-3-642-35473-1_13

Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization

Shiau Rung Tsui, Cheng Ta Huang, Wei Jen Wang

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This study presents a new steganographic method that embeds secret data into a cover digital image using VQ encoding. The core concept of the proposed method uses the gradient adjacent prediction (GAP) algorithm, which enhances prediction accuracy of neighboring blocks in SMVQ encoding. To embed secret data into the cover image, the proposed method utilizes the features of GAP to decide the capacity of the secret data per pixel in a block. It then embeds the secret data accordingly. It also embeds an index value in each block to ensure that the secret data can be recovered back. The index value points to the closest codeword of a state codebook to the encoding block, where the state codebook is generated by GAP-based SMVQ. The result shows that the proposed method has better performance than a recent similar work proposed by Chen and Lin in 2010.

Original language	English
Title of host publication	Advances in Intelligent Systems and Applications - Volume 2
Subtitle of host publication	Proceedings of the International Computer
Editors	Chang Ruay-Shiung, Peng Sheng-Lung, Lin Chia-Chen
Pages	121-129
Number of pages	9
DOIs	https://doi.org/10.1007/978-3-642-35473-1_13
State	Published - 2013

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	21
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Keywords

Gradient Adjacent Prediction (GAP)
SMVQ
Steganography
VQ

Access to Document

10.1007/978-3-642-35473-1_13

Cite this

Tsui, S. R., Huang, C. T., & Wang, W. J. (2013). Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization. In C. Ruay-Shiung, P. Sheng-Lung, & L. Chia-Chen (Eds.), Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer (pp. 121-129). (Smart Innovation, Systems and Technologies; Vol. 21). https://doi.org/10.1007/978-3-642-35473-1_13

Tsui, Shiau Rung ; Huang, Cheng Ta ; Wang, Wei Jen. / Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization. Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. editor / Chang Ruay-Shiung ; Peng Sheng-Lung ; Lin Chia-Chen. 2013. pp. 121-129 (Smart Innovation, Systems and Technologies).

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abstract = "This study presents a new steganographic method that embeds secret data into a cover digital image using VQ encoding. The core concept of the proposed method uses the gradient adjacent prediction (GAP) algorithm, which enhances prediction accuracy of neighboring blocks in SMVQ encoding. To embed secret data into the cover image, the proposed method utilizes the features of GAP to decide the capacity of the secret data per pixel in a block. It then embeds the secret data accordingly. It also embeds an index value in each block to ensure that the secret data can be recovered back. The index value points to the closest codeword of a state codebook to the encoding block, where the state codebook is generated by GAP-based SMVQ. The result shows that the proposed method has better performance than a recent similar work proposed by Chen and Lin in 2010.",

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Tsui, SR, Huang, CT & Wang, WJ 2013, Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization. in C Ruay-Shiung, P Sheng-Lung & L Chia-Chen (eds), Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. Smart Innovation, Systems and Technologies, vol. 21, pp. 121-129. https://doi.org/10.1007/978-3-642-35473-1_13

Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization. / Tsui, Shiau Rung; Huang, Cheng Ta; Wang, Wei Jen.
Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. ed. / Chang Ruay-Shiung; Peng Sheng-Lung; Lin Chia-Chen. 2013. p. 121-129 (Smart Innovation, Systems and Technologies; Vol. 21).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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Tsui SR, Huang CT, Wang WJ. Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization. In Ruay-Shiung C, Sheng-Lung P, Chia-Chen L, editors, Advances in Intelligent Systems and Applications - Volume 2: Proceedings of the International Computer. 2013. p. 121-129. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-642-35473-1_13

Image Steganography Using Gradient Adjacent Prediction in Side-Match Vector Quantization

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