Integrated Data Hiding and Lossless Image Compression based on SMVQ and Image Inpainting
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 125 | Views: 393

Research Paper | Computer Science & Engineering | India | Volume 3 Issue 6, June 2014 | Popularity: 6.7 / 10


     

Integrated Data Hiding and Lossless Image Compression based on SMVQ and Image Inpainting

Sandeep Kumar, Nidhi Garg


Abstract: Today Reversible data hiding (RDH) is latest research area in field of data concealment scheme. In RDH; the data to be cover up is embedded in the cover image and at the origin side both conceal secret and cover image is reconstructed without any misrepresentation. In this paper we represent a RDH technique based on side match vector quantization for images. Two function data hiding and image compression can be integrated together into one single module. Experiment result show the performance of our proposed schemes better than those of other information schemes for VQ-based and SMVQ based compressed images. This scheme improved the performance of hiding capacity; compression ratio and SSIM; and also improved the performance of decompression quality.


Keywords: Reversible Data hiding, Histogram shifting, lossless compression, image compression, Side match vector quantization


Edition: Volume 3 Issue 6, June 2014


Pages: 2321 - 2323



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Sandeep Kumar, Nidhi Garg, "Integrated Data Hiding and Lossless Image Compression based on SMVQ and Image Inpainting", International Journal of Science and Research (IJSR), Volume 3 Issue 6, June 2014, pp. 2321-2323, https://www.ijsr.net/getabstract.php?paperid=2014639, DOI: https://www.doi.org/10.21275/2014639

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