A Reversible Data Hiding Technique Using Histogram Modification and Smvq for Very Large Payloads
R. LEELAVATHI1, M. N. GIRI PRASAD2
1R. Leelavathi, Assistant Professor, Vasavi College of Engineering, Hyderabad (Telangana), India.
2M. N. Giri Prasad, Professor, JNTU College of Engineering, Anantapuram (A.P), India
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1635-1642 | Volume-8 Issue-6, April 2019 | Retrieval Number: F4032048619/19©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), unlike traditional data hiding techniques, focuses on recovering the cover image after the secret data is extracted from it at the receiver. The prime essence of the concept is that 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 Side Match Vector Quantization (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 retrieved message is imperceptible and the recovered cover media is either exactly same or has a very high PSNR value. The algorithm has been well tested and compared with various other techniques.
Keyword: Reversible Data hiding, Histogram Modification, Side Match Vector Quantization, Payload, Secret Information, Cover Image.
Scope of the Article: Data Analytics