A Formula Adaptive Pixel Pair Matching Steganography Algorithm

Joint Authors

Long, Min
Li, Fenfang

Source

Advances in Multimedia

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