A Reversible Data Hiding Technique Using Histogram Modification and SMVQ for Very Large Payloads
S. Arockiaraj1, S. Sundara Mahalingam2, B.V. Manikandan3, V.P. Gowtham Kumar4
1S. Arockiaraj, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
2S. Sundara Mahalingam, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
3B.V. Manikandan, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
4V.P. Gowtham Kumar, Mepco Schlenk Engineering College, Sivakasi (Tamil Nadu), India.
Manuscript received on 11 February 2019 | Revised Manuscript received on 07 April 2019 | Manuscript Published on 28 April 2019 | PP: 206-212 | Volume-7 Issue-5C February 2019 | Retrieval Number: E10500275C19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Reversible data hiding (RDH) is the process of embedding secret information into a cover image. The prime essence of the concept is that, the recovered secret information as well as the cover image should be recovered without any damage or with imperceptible error in the pixel values. In this paper, we propose an RDH technique based on simple histogram modification and SMVQ. The proposed histogram modification technique attains high PSNR values with impressive payload capacities. The SMVQ technique further increases the payload capacity by four folds. The damage in the extracted secret message is imperceptible and the recovered cover image is either exactly same or has a very high PSNR value. The algorithm has been well tested and compared with various other techniques.
Keywords: RDH, PSNR, SMVQ, PAYLOADS.
Scope of the Article: Data Management