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Hierarchical High Capacity Data Hiding in JPEG Crypto-compressed Images

Authors :
Zichi Wang
Pauline Puteaux
William Puech
Xinpeng Zhang
Image & Interaction (ICAR)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
School of Communication and Information Engineering [Shanghai]
Shanghai University
Source :
28th European Signal Processing Conference (EUSIPCO 2020), 28th European Signal Processing Conference (EUSIPCO 2020), Jan 2021, Amsterdam (virtual), Netherlands. pp.725-729, ⟨10.23919/Eusipco47968.2020.9287376⟩, EUSIPCO, EUSIPCO 2020-28th European Signal Processing Conference, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam (virtual), Netherlands. pp.725-729, ⟨10.23919/Eusipco47968.2020.9287376⟩
Publication Year :
2021
Publisher :
HAL CCSD, 2021.

Abstract

International audience; With the fast development of cloud computing, exchanging JPEG compressed images in a secure way has significantly increased. Data hiding in encrypted images (DHEI) is an effective way to embed additional data directly into the encrypted domain. In recent state-of-the-art methods, almost all DHEI processes focused on uncompressed images. Recently, some schemes using data hiding (DH) in JPEG crypto-compressed images have been designed, but most of them are not fully JPEG format compliant. In this paper, we propose a hierarchical high capacity data hiding (HHCDH) approach for JPEG cryptocompressed images. After encrypting every non-null coefficients, they are processed from low to high frequencies. Sign bits that are specific to them are then substituted by bits of a secret message. During the decoding phase, correlations between neighboring blocks are exploited to hierarchically recover the original sign bit values. According to our experiments, we achieve to obtain a high payload value, while preserving a very good quality of the reconstructed JPEG image. Index Terms-Signal processing in the encrypted domain, data hiding, crypto-compression, JPEG compression.

Details

Language :
English
Database :
OpenAIRE
Journal :
28th European Signal Processing Conference (EUSIPCO 2020), 28th European Signal Processing Conference (EUSIPCO 2020), Jan 2021, Amsterdam (virtual), Netherlands. pp.725-729, ⟨10.23919/Eusipco47968.2020.9287376⟩, EUSIPCO, EUSIPCO 2020-28th European Signal Processing Conference, EUSIPCO 2020-28th European Signal Processing Conference, Jan 2021, Amsterdam (virtual), Netherlands. pp.725-729, ⟨10.23919/Eusipco47968.2020.9287376⟩
Accession number :
edsair.doi.dedup.....df0fba90381fff2d0d408aa8ee90e2b0
Full Text :
https://doi.org/10.23919/Eusipco47968.2020.9287376⟩