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CLC number: TP309.2
On-line Access: 2023-08-29
Received: 2022-10-22
Revision Accepted: 2023-02-14
Crosschecked: 2023-08-29
Cited: 0
Clicked: 774
High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction
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Kaili QI, Minqing ZHANG, Fuqiang DI, Yongjun KONG. High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction[J]. Frontiers of Information Technology & Electronic Engineering, 2023, 24(8): 1156-1168.
@article{title="High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction",
author="Kaili QI, Minqing ZHANG, Fuqiang DI, Yongjun KONG",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="24",
number="8",
pages="1156-1168",
year="2023",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.2200501"
}
%0 Journal Article
%T High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction
%A Kaili QI
%A Minqing ZHANG
%A Fuqiang DI
%A Yongjun KONG
%J Frontiers of Information Technology & Electronic Engineering
%V 24
%N 8
%P 1156-1168
%@ 2095-9184
%D 2023
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.2200501
TY - JOUR
T1 - High capacity reversible data hiding in encrypted images based on adaptive quadtree partitioning and MSB prediction
A1 - Kaili QI
A1 - Minqing ZHANG
A1 - Fuqiang DI
A1 - Yongjun KONG
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 24
IS - 8
SP - 1156
EP - 1168
%@ 2095-9184
Y1 - 2023
PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2200501
Abstract: To improve the embedding capacity of reversible data hiding in encrypted images (RDH-EI), a new RDH-EI scheme is proposed based on adaptive quadtree partitioning and most significant bit (MSB) prediction. First, according to the smoothness of the image, the image is partitioned into blocks based on adaptive quadtree partitioning, and then blocks of different sizes are encrypted and scrambled at the block level to resist the analysis of the encrypted images. In the data embedding stage, the adaptive MSB prediction method proposed by Wang and He (2022) is improved by taking the upper-left pixel in the block as the target pixel, to predict other pixels to free up more embedding space. To the best of our knowledge, quadtree partitioning is first applied to RDH-EI. Simulation results show that the proposed method is reversible and separable, and that its average embedding capacity is improved. For gray images with a size of 512×512, the average embedding capacity is increased by 25 565 bits. For all smooth images with improved embedding capacity, the average embedding capacity is increased by about 35 530 bits.
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