2016
DOI: 10.1007/s11042-016-4032-8
|View full text |Cite
|
Sign up to set email alerts
|

An efficient reversible data hiding method for AMBTC compressed images

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
53
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
6
2

Relationship

1
7

Authors

Journals

citations
Cited by 42 publications
(56 citation statements)
references
References 30 publications
0
53
0
Order By: Relevance
“…The paper titled BAn efficient reversible data hiding method for AMBTC compressed images^ [5] proposes a type II reversible data hiding method for the absolute moment block truncation coding compressed code. Authors propose: 1) median edge detection and alternative prediction of the quantization values to improve the efficacy of prediction and 2) a centralization error division technique to divide prediction errors making it more efficient.…”
Section: Summary Of the Accepted Papersmentioning
confidence: 99%
“…The paper titled BAn efficient reversible data hiding method for AMBTC compressed images^ [5] proposes a type II reversible data hiding method for the absolute moment block truncation coding compressed code. Authors propose: 1) median edge detection and alternative prediction of the quantization values to improve the efficacy of prediction and 2) a centralization error division technique to divide prediction errors making it more efficient.…”
Section: Summary Of the Accepted Papersmentioning
confidence: 99%
“…Thus Reversible data hiding (RDH) [1] is proposed, which can reconstruct both host images and additional data with little distortion. Generally, RDH can be divided into four categories [2]: space domain [3][4][5], transform domain [6] [7], compress domain [8][9][10][11] and encrypt domain [12][13][14]. Only RDH in compress domain can be used in compressed image.…”
Section: Introductionmentioning
confidence: 99%
“…Sun et al [23] proposed a JNC predictor-based RDH method to embed four bits into one modified compressed block code and reduced the size of the final compressed image codes at the same time. Later, Hong et al proposed two methods [24,25] to improve the performance of Sun et al's method by achieving a higher hiding capacity and lower bitrate, i.e., a smaller file size. A MED predictor was used in these two methods and a series of improvements were proposed to achieve better performance.…”
Section: Introductionmentioning
confidence: 99%