International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Since Year 2012 | Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064




Downloads: 127

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 3 Issue 9, September 2014


Eliminating Hidden Data from an Image Using Multi Carrier-Iterative Generalized Least Squares

Ch. Anusha | V. Sireesha


Abstract: Data hiding and extraction schemes are growing in todays communication world suitable to rapid growth of data tracking and tampering attacks. Data hiding, a type of steganography, embeds information into digital media for the reason of identification, annotation, and copyright. In this narrative techniques are used for addressing the data-hiding method and estimate these techniques in glow of three applications: copyright protection, tamper proofing, and augmentation data embedding. Thus we necessitate a proficient and vigorous data hiding schemes to defend from these attacks. In this project the blindly extraction method is measured. Blindly extraction means the novel host and the embedding carriers are not necessitate to be recognized. Here, the hidden data embedded to the host signal, via multicarrier SS embedding. The hidden data is extracted from the digital media like audio, video or image. The extraction algorithm used to extract the hidden data from digital media is Multicarrier Iterative Generalized Least Squares (M-IGLS).


Keywords: Data hiding, Blind Extraction, Data tracking, Tampering attacks, Steganography


Edition: Volume 3 Issue 9, September 2014,


Pages: 441 - 444


How to Cite this Article?

Ch. Anusha, V. Sireesha, "Eliminating Hidden Data from an Image Using Multi Carrier-Iterative Generalized Least Squares", International Journal of Science and Research (IJSR), Volume 3 Issue 9, September 2014, pp. 441-444, https://www.ijsr.net/get_abstract.php?paper_id=SEP1475

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