Open AccessReversible Data Hiding in Block Compressed Sensing Images
Author(s) -
Li Ming,
Zhang Yushu
Publication year - 2016
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.16.0114.0242
Subject(s) - block (permutation group theory) , encryption , information hiding , image (mathematics) , computer science , artificial intelligence , compressed sensing , computer vision , pattern recognition (psychology) , algorithm , mathematics , geometry , operating system
Block compressed sensing (BCS) is widely used in image sampling and is an efficient, effective technique. Through the use of BCS, an image can be simultaneously compressed and encrypted. In this paper, a novel reversible data hiding (RDH) method is proposed to embed additional data into BCS images. The proposed method is the first RDH method of its kind for BCS images. Results demonstrate that our approach performs better compared with other state‐of‐the‐art RDH methods on encrypted images.