Title :
Image Hiding by LSB Matching of Higher Payload
Author :
Shang-Kuan Chen ; Ja-Chen Lin
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Yuanpei Univ., Hsinchu, Taiwan
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.
Keywords :
image coding; image matching; steganography; LSB matching method; cover image; cover pixel; data hiding method; higher payload; image hiding; least significant bit matching; stego-images; Bit rate; Computer science; Decoding; Educational institutions; PSNR; Pattern recognition; Payloads; LSB matching;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location :
Kitakushu
Print_ISBN :
978-1-4673-2138-9
DOI :
10.1109/ICGEC.2012.101
