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Shrinking and Hiding Data Using SMVQ and Image Interpolation

Anup Kumar

Abstract


In this paper a scheme called joint data hiding and shrinking(compression) is proposed for digital images using SMVQ(side match vector quantization).both the methods of hiding text and shrinking of image is united into a individual module. On the client side, the information is hided and shrinked in sub codebook, excluding the top most and left most blocks the remaining blocks are used to embed data and compress image, vector quantization is used along with SMVQ for complicated blocks. Now  on the server side the receiver receives the image and the image is divided into multiple blocks and the receiver extracts hided data and after decompression reconstructs the original image according to the value of the index in segmented section. This proposed scheme has given a high performance in terms of hiding information, compression and decompression of digital images.


Keywords


Codebook, Codeword, Compression, Decompression, Extraction, Digital, Images, SMVQ, VQ.

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References


Chuan Qin, Chin-Chen Chang, Fellow, IEEE, and Yi-Ping Chiu, A Novel Joint Data-Hiding and Compression Scheme Based on SMVQ and Image Inpainting, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 23, NO. 3, MARCH 201.

Karthiga Gurusamy, V.G.Karthiga, K.Maheswari, Dr.S.Kirubakaran, A Literature Survey On Secure Joint Data Hiding And Compression Scheme To Store High Capacity Data In image.

Pooja M. Patil, Dr. V. R.Udupi , A Novel Joint Data Hiding and Compression Scheme Based on SMVQ and Image Inpainting, IJSTE - International Journal of Science Technology & Engineering | Volume 1 | Issue 12 | June 2015.

N. M. Nasrabadi and R. King, “Image coding using vector quantization: A review,” IEEE Trans. Commun., vol. 36, no. 8, pp. 957–971, Aug. 1988.

Announcing the Advanced Encryption Standard (AES), National Institute of Standards & Technology, Gaithersburg, MD, USA, Nov. 2001.

R. L. Rivest, A. Shamir, and L. Adleman, “A method for obtaining digital signatures and public-key cryptosystems,” Commun. ACM, vol. 21, no. 2, pp. 120–126, 1978.

F. A. P. Petitcolas, R. J. Anderson, and M. G. Kuhn, “Information hidinga survey,” Proc. IEEE, vol. 87, no. 7, pp. 1062–1078, Jul. 1999.

C. D. Vleeschouwer, J. F. Delaigle, and B Macq, “Invisibility and application functionalities in perceptual watermarking: An overview,”Proc. IEEE, vol. 90, no. 1, pp. 64–77, Jan. 2002.

C. C. Chang, T. S. Chen, and L. Z. Chung, “A steganographic method based upon JPEG and quantization table modification,” Inf. Sci., vol. 141, no. 1, pp. 123–138, 2002.

H. W. Tseng and C. C. Chang, “High capacity data hiding in JPEGcompressed images,” Informatica, vol. 15, no. 1, pp. 127–142, 2004.

P. C. Su and C. C. Kuo, “Steganography in JPEG2000 compressed images,” IEEE Trans. Consum. Electron., vol. 49, no. 4, pp. 824–832, Nov. 2003.

W. J. Wang, C. T. Huang, and S. J. Wang, “VQ applications in steganographic data hiding upon multimedia images,” IEEE Syst. J., vol. 5, no. 4, pp. 528–537, Dec. 2011.

Y. C. Hu, “High-capacity image hiding scheme based on vector quantization,” Pattern Recognit., vol. 39, no. 9, pp. 1715–1724, 2006.

Y. P. Hsieh, C. C. Chang, and L. J. Liu, “A two-codebook combination and three-phase block matching based image-hiding scheme with high embedding capacity,” Pattern Recognit., vol. 41, no. 10, pp. 3104–3113, 2008.

C. H. Yang and Y. C. Lin, “Fractal curves to improve the reversible data embedding for VQ-indexes based on locally adaptive coding,” J. Vis.Commun. Image Represent., vol. 21, no. 4, pp. 334–342, 2010.

Y. Linde, A. Buzo, and R. M. Gray, “An algorithm for vector quantization design,” IEEE Trans. Commun., vol. 28, no. 1, pp. 84–95, Jan. 1980.

C. C. Chang and W. C. Wu, “Fast planar-oriented ripple search algorithm for hyperspace VQ codebook,” IEEE Trans. Image Process., vol. 16, no. 6, pp. 1538–1547, Jun. 2007.

W. C. Du and W. J. Hsu, “Adaptive data hiding based on VQ compressed images,” IEE Proc. Vis., Image Signal Process., vol. 150, no. 4, pp. 233–238, Aug. 2003.

C. C. Chang and W. C. Wu, “Hiding secret data adaptively in vector quantisation index tables,” IEE Proc. Vis., Image Signal Process., vol. 153, no. 5, pp. 589–597, Oct. 2006.

C. C. Lin, S. C. Chen, and N. L. Hsueh, “Adaptive embedding techniques for VQ-compressed images,” Inf. Sci., vol. 179, no. 3, pp. 140–149, 2009.


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