SECURE REVERSIBLE IMAGE DATA HIDING OVER VIA KEY MODULATION

  • Unique Paper ID: 146638
  • PageNo: 282-286
  • Abstract:
  • We present a novel reversible (lossless) data hiding (embedding) approach, which allows the exact healing of the unique host sign upon extraction of the embedded information. A generalization of the famous LSB (least good sized bit) change is proposed because the statistics embedding approach, which introduces additional running factors on the potential-distortion curve. Lossless recovery of the original is finished through compressing quantities of the signal which can be vulnerable to embedding distortion, and transmitting these compressed descriptions as part of the embedded payload. A prediction-based conditional entropy coder which makes use of static portions of the host as aspect-information improves the compression performance, and accordingly the lossless facts embedding ability.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{146638,
        author = {P.REVATHI  and RSVS ARAVIND},
        title = {SECURE REVERSIBLE IMAGE DATA HIDING OVER VIA KEY MODULATION},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {1},
        pages = {282-286},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=146638},
        abstract = {We present a novel reversible (lossless) data hiding (embedding) approach, which allows the exact healing of the unique host sign upon extraction of the embedded information. A generalization of the famous LSB (least good sized bit) change is proposed because the statistics embedding approach, which introduces additional running factors on the potential-distortion curve. Lossless recovery of the original is finished through compressing quantities of the signal which can be vulnerable to embedding distortion, and transmitting these compressed descriptions as part of the embedded payload. A prediction-based conditional entropy coder which makes use of static portions of the host as aspect-information improves the compression performance, and accordingly the lossless facts embedding ability.},
        keywords = {},
        month = {},
        }

Cite This Article

P.REVATHI, , & ARAVIND, R. (). SECURE REVERSIBLE IMAGE DATA HIDING OVER VIA KEY MODULATION. International Journal of Innovative Research in Technology (IJIRT), 5(1), 282–286.

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