Image hiding by LSB matching of higher payload

Shang Kuan Chen; Chih_Ching Lin

doi:10.1109/ICGEC.2012.101

Image hiding by LSB matching of higher payload

Shang Kuan Chen^*, Chih_Ching Lin

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

LSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.

Original language	English
Title of host publication	Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Pages	468-471
Number of pages	4
DOIs	https://doi.org/10.1109/ICGEC.2012.101
State	Published - 1 Dec 2012
Event	2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012 - Kitakyushu, Japan Duration: 25 Aug 2012 → 28 Aug 2012

Publication series

Name	Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

Conference

Conference	2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Country	Japan
City	Kitakyushu
Period	25/08/12 → 28/08/12

Access to Document

10.1109/ICGEC.2012.101

Fingerprint Dive into the research topics of 'Image hiding by LSB matching of higher payload'. Together they form a unique fingerprint.

Cite this

@inproceedings{a21a8b1f275b4ced8ff3ca734f32810d,

title = "Image hiding by LSB matching of higher payload",

abstract = "LSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.",

author = "Chen, {Shang Kuan} and Chih_Ching Lin",

year = "2012",

month = dec,

day = "1",

doi = "10.1109/ICGEC.2012.101",

language = "English",

isbn = "9780769547633",

series = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",

pages = "468--471",

booktitle = "Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012",

note = "null ; Conference date: 25-08-2012 Through 28-08-2012",

}

Chen, SK & Lin, CC 2012, Image hiding by LSB matching of higher payload. in Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012., 6456878, Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012, pp. 468-471, 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012, Kitakyushu, Japan, 25/08/12. https://doi.org/10.1109/ICGEC.2012.101

Image hiding by LSB matching of higher payload. / Chen, Shang Kuan; Lin, Chih_Ching.

Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012. 2012. p. 468-471 6456878 (Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Image hiding by LSB matching of higher payload

AU - Chen, Shang Kuan

AU - Lin, Chih_Ching

PY - 2012/12/1

Y1 - 2012/12/1

N2 - LSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.

AB - LSB (Least significant bit) matching is a data hiding method that embeds message bits into a cover image by adding 0 or 1 or -1 to every cover pixel. Previous LSB matching methods were designed with 1 bpp (bits per pixel) as payload. By equalizing two values of distinct bases, the proposed LSB matching method can have a payload which is adjustable by the users, and the range is between 0 and 1.5849 bpp. Experimental results show that the quality of our stego-images is also competitive.

UR - http://www.scopus.com/inward/record.url?scp=84874356507&partnerID=8YFLogxK

U2 - 10.1109/ICGEC.2012.101

DO - 10.1109/ICGEC.2012.101

M3 - Conference contribution

AN - SCOPUS:84874356507

SN - 9780769547633

T3 - Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

SP - 468

EP - 471

BT - Proceedings - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012

Y2 - 25 August 2012 through 28 August 2012

ER -