Binary Image Data Hiding Using Matrix Encoding Technique in Sensors

Joint Authors

Huy, Phan Trung
Kim, Cheonshik

Source

International Journal of Distributed Sensor Networks

Issue

Vol. 2013, Issue - (31 Dec. 2013), pp.1-7, 7 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2013-11-18

Country of Publication

Egypt

No. of Pages

7

Main Subjects

Telecommunications Engineering
Information Technology and Computer Science

Abstract EN

It is very important to protect the copyright of digital images in wireless transmission, because people often use a smart phone in their daily life.

Traditional security schemes are computationally expensive, and they introduce overhead, which shortens the life of the image sensors.

In this paper, we present an Improved Matrix Encoding (IME) scheme for hiding data into a two-color binary image.

Our proposed scheme improved the CPT scheme.

In the CPT scheme, each block F of q=m×n pixel of G is changed by at most two pixels for hiding data.

CPT scheme’s embedding rate is r=log2q+1.

The IME scheme is shown approximately as a 2r-2 embedding rate, while Tseng-Pan’s modified CPT scheme (MCPT) is an r-1 embedding rate.

Therefore, IME’s embedding rate is higher than that of the MCPT scheme.

In our experiment, we demonstrate that our proposed schemes are superior to those of the CPT and MCPT schemes.

American Psychological Association (APA)

Huy, Phan Trung& Kim, Cheonshik. 2013. Binary Image Data Hiding Using Matrix Encoding Technique in Sensors. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-464197

Modern Language Association (MLA)

Huy, Phan Trung& Kim, Cheonshik. Binary Image Data Hiding Using Matrix Encoding Technique in Sensors. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-464197

American Medical Association (AMA)

Huy, Phan Trung& Kim, Cheonshik. Binary Image Data Hiding Using Matrix Encoding Technique in Sensors. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-7.
https://search.emarefa.net/detail/BIM-464197

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-464197