TY - GEN
T1 - Image hiding by LSB matching of higher payload
AU - Chen, Shang Kuan
AU - Lin, Chih_Ching
PY - 2012
Y1 - 2012
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
T2 - 2012 6th International Conference on Genetic and Evolutionary Computing, ICGEC 2012
Y2 - 25 August 2012 through 28 August 2012
ER -