title: High capacity data hiding scheme based on (7, 4) Hamming code.
abstract: Aiming to embed large amount of data while minimize the sum of costs of all changed pixels, a novel high capacity data hiding scheme based on (7, 4) Hamming code is realized by a family of algorithms. Firstly, n (n = 1, 2, 3) cover pixels are assigned to one set according to the payload. Then, 128 binary strings of length seven are divided into eight sets according to the syndrome of every binary string. Binary strings that share the same syndrome are classified into one set. Finally, a binary string in a certain set determined by the data to be embedded is chosen to modify some of the least significant bits of the n cover pixels. The experimental results demonstrate that the image quality of the proposed method with high embedding payload is superior to those of the related schemes.
authors.affiliation: Key Laboratory of Intelligent Computing & Signal Processing, School of Computer Science & Technology, Anhui University, Hefei, 230601 Anhui China.
authors.forename: Zekun
authors.initials: Z
authors.lastname: Cao
authors.affiliation: Key Laboratory of Intelligent Computing & Signal Processing, School of Computer Science & Technology, Anhui University, Hefei, 230601 Anhui China ; School of Communication and Information Engineering, Shanghai University, Shanghai, 200072 P.R. China.
authors.forename: Zhaoxia
authors.initials: Z
authors.lastname: Yin
authors.affiliation: Key Laboratory of Intelligent Computing & Signal Processing, School of Computer Science & Technology, Anhui University, Hefei, 230601 Anhui China.
authors.forename: Honghe
authors.initials: H
authors.lastname: Hu
authors.affiliation: Key Laboratory of Intelligent Computing & Signal Processing, School of Computer Science & Technology, Anhui University, Hefei, 230601 Anhui China.
authors.forename: Xiangping
authors.initials: X
authors.lastname: Gao
authors.affiliation: Key Laboratory of Intelligent Computing & Signal Processing, School of Computer Science & Technology, Anhui University, Hefei, 230601 Anhui China.
authors.forename: Liangmin
authors.initials: L
authors.lastname: Wang
keywords: Data hiding; Embedding capacity; Hamming code; Image quality