A Formula Adaptive Pixel Pair Matching Steganography Algorithm
Joint Authors
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-07-05
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
Pixel pair matching (PPM) is widely used in digital image steganography.
As an important derivation, adaptive pixel pair matching method (APPM) offers low distortion and allows embedded digits in any notational system.
However, APPM needs additional space to store, calculate, and query neighborhood set, which needs extra cost.
To solve these problems, a formula adaptive pixel pair matching (FAPPM) method is proposed in this paper.
The basic idea of FAPPM is to use the formula to get the stego image pixel pair without searching the neighborhood set for the given image pixel pair.
This will allow users to embed secret message directly without storing and searching the look-up table.
Experimental results and analysis show that the proposed method could embed secret data directly without searching the neighborhood sets by using a formula and it still maintains flexibility in the selection of notional system, high image quality, and strong anti-steganalysis ability.
American Psychological Association (APA)
Long, Min& Li, Fenfang. 2018. A Formula Adaptive Pixel Pair Matching Steganography Algorithm. Advances in Multimedia،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118474
Modern Language Association (MLA)
Long, Min& Li, Fenfang. A Formula Adaptive Pixel Pair Matching Steganography Algorithm. Advances in Multimedia No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1118474
American Medical Association (AMA)
Long, Min& Li, Fenfang. A Formula Adaptive Pixel Pair Matching Steganography Algorithm. Advances in Multimedia. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1118474
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118474