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Steganography using Dictionary Sort on Vector Quantized Codebook
H.B.Kekre, Archana Athawale, Tanuja Sarode, Sudeep Thepade, Kalpana Sagvekar
Pages - 392 - 402     |    Revised - 30-08-2010     |    Published - 30-10-2010
Volume - 4   Issue - 4    |    Publication Date - October 2010  Table of Contents
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KEYWORDS
Data Hiding, VQ, LBG, KPE, KMCG, KFCG
ABSTRACT
This paper presents a new reversible data hiding scheme using vector quantization (VQ). In traditional VQ based data hiding schemes secret data is hidden inside index based cover image resulting in limited embedding capacity. To improve the embedding capacity as well as to have minimum distortion to carrier media our method proves good. In this paper we have used four different codebook(CB) generation algorithms Linde Buzo and Gray (LBG), Kekre’s Proportionate Error (KPE), Kekre’s Median Codebook Generation algorithm (KMCG) and Kekre’s Fast Codebook Generation Algorithm (KFCG) to prepare codebooks. So the Herculean task of increasing data hiding capacity with minimum distortion in recovered secret message is achieved with help of proposed techniques which are more robust against stegaanalysis.
CITED BY (4)  
1 Nusra, A., & Adiwijaya, u. n. w. penyisipan data pada citra medis menggunakan vector quantization dan pewarnaan graf menggunakan algoritma genetika.
2 Moedjiono, s., rifai, a., & mantoro, t. (2014). a robust steganography approach with high embedding capacity using unique value embedding and codebook. Journal of Theoretical & Applied Information Technology, 66(1).
3 Athawale, A. (2013). Information Hiding in image and audio files.
4 Thepade, D. S. D., Parekh, D., Shah, J., Shah, B., & Vora, P. (2012). Classification of Fingerprint using KMCG Algorithm. International Journal of Science and Technology Research, 1(6).
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Dr. H.B.Kekre
MPSTME, NMIMS University - India
Mr. Archana Athawale
TSEC - India
Dr. Tanuja Sarode
TSEC - India
Associate Professor Sudeep Thepade
MPSTME, NMIMS University - India
sudeepthepade@gmail.com
Mr. Kalpana Sagvekar
FCRCE - India