Stammdaten

Titel: Secure Reversible Data Hiding in Encrypted Images based on Classification Encryption Difference
Untertitel:
Kurzfassung:

This paper introduces an algorithm to improve the security, efficiency, and embedding capacity of reversible data hiding in encrypted images (RDH-EI). It is based on classification encryption difference and adaptive fixed-length coding. Firstly, the prediction error image is obtained, the difference with a bin value greater than the encryption threshold in the difference histogram is found, and it is further modified to obtain the embedding threshold range. Then, under the condition of ensuring that the difference inside and outside the embedding threshold range is not confused, the difference within the threshold is only scrambled, and the difference outside the threshold is scrambled and mod encrypted. After obtaining the encrypted image, an adaptive difference fixed-length coding method is proposed to encode and compress the differences within the threshold. The secret data is embedded in the multiple most significant bits of the encoded difference. Experimental results show that the embedding capacity of the proposed algorithm is improved compared with the state-of-the-art algorithm.

Schlagworte: reversible data hiding, security, image encryption, adaptive fixed-length coding
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 26.09.2022 (Print)
Erschienen in: MMSP 2022 Proceedings of the IEEE 24th International Workshop on Multimedia Signal Processing
MMSP 2022 Proceedings of the IEEE 24th International Workshop on Multimedia Signal Processing
zur Publikation
 ( IEEE Xplore Digital Library; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 6

Versionen

Keine Version vorhanden
Erscheinungsdatum: 26.09.2022
ISBN:
  • 978-1-6654-7189-3
ISSN: 2473-3628
Homepage: https://ieeexplore.ieee.org/document/9949304
Erscheinungsdatum: 22.11.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/mmsp55362.2022.9949304
Homepage: https://ieeexplore.ieee.org/document/9949304
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@aau.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Multimedia Communication

Kooperationen

Organisation Adresse
Southwest Jiaotong University
111 2nd Ring Rd North Section 1
610032 Jinniu District, Chengdu, Sichuan
China
111 2nd Ring Rd North Section 1
CN - 610032  Jinniu District, Chengdu, Sichuan

Beiträge der Publikation

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