Title :
A High Capacity Reversible Data Hiding Scheme Based on SMVQ
Author :
Chia-Chen Lin ; Xue-Bai Zhang
Author_Institution :
Dept. of Comput. Sci. & Inf. Manage., Providence Univ., Taichung, Taiwan
Abstract :
Many reversible data hiding techniques have been presented in the literature in recent years. in this paper, a novel, reversible data hiding scheme is proposed for embedding secret data based on side-match vector quantization (SMVQ). According to the scheme, we can directly reconstruct the original SMVQ compression code for the receiver to store the cover image in a saving storage space after extracting the secret messages. as an improvement to the exiting techniques, we used a data-reading approach in which the data were divided into three categories and an ordering method was used to distinguish between the odd and even positions of the codeword. the experimental results demonstrated that the proposed scheme enhances the embedding capacity and image quality. the results also indicate that the hiding capacity of our scheme is around 24,360 bits, which is about 51% greater than that of Chang et al.´s scheme [1]. in addition, our proposed method outperforms Chang et al.´s scheme in terms of the quality of the stego-image by approximately 0.1571 dB, on average. This electronic document is a ´live´ template. the various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document.
Keywords :
feature extraction; image coding; steganography; storage management; vector quantisation; SMVQ compression code reconstruction; cover image storage; data-reading approach; embedding capacity enhancement; even codeword position; exiting techniques; high capacity reversible data hiding scheme; odd codeword position; ordering method; secret data embedding; secret message extraction; side-match vector quantization; steganography; stego-image quality; storage space saving; Data mining; Euclidean distance; Image coding; Image reconstruction; Indexes; Media; Vector quantization; reversible data hiding; side-match vector quantization (SMVQ); steganography;
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.2012.17