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Improved Secret Image Sharing Scheme in Embedding Capacity without Underflow and Overflow.

Pang L, Miao D, Li H, Wang Q - ScientificWorldJournal (2015)

Bottom Line: Although the underflow and overflow situations have been well dealt with by different methods, the embedding capacities of these methods are reduced more or less.Motivated by these concerns, we propose a novel scheme, in which we take the differential coding, Huffman coding, and data converting to compress the secret image before embedding it to further improve the embedding capacity, and the pixel mapping matrix embedding method with a newly designed matrix is used to embed secret image data into the cover image to avoid the underflow and overflow situations.Experiment results show that our scheme can improve the embedding capacity further and eliminate the underflow and overflow situations at the same time.

View Article: PubMed Central - PubMed

Affiliation: School of Life Science and Technology, Xidian University, Xi'an 710071, China ; Department of Computer Science, Wayne State University, Detroit, MI 48202, USA.

ABSTRACT
Computational secret image sharing (CSIS) is an effective way to protect a secret image during its transmission and storage, and thus it has attracted lots of attentions since its appearance. Nowadays, it has become a hot topic for researchers to improve the embedding capacity and eliminate the underflow and overflow situations, which is embarrassing and difficult to deal with. The scheme, which has the highest embedding capacity among the existing schemes, has the underflow and overflow problems. Although the underflow and overflow situations have been well dealt with by different methods, the embedding capacities of these methods are reduced more or less. Motivated by these concerns, we propose a novel scheme, in which we take the differential coding, Huffman coding, and data converting to compress the secret image before embedding it to further improve the embedding capacity, and the pixel mapping matrix embedding method with a newly designed matrix is used to embed secret image data into the cover image to avoid the underflow and overflow situations. Experiment results show that our scheme can improve the embedding capacity further and eliminate the underflow and overflow situations at the same time.

No MeSH data available.


Related in: MedlinePlus

The flowchart of the proposed scheme.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig1: The flowchart of the proposed scheme.

Mentions: The proposed scheme consists of four parts that are the preprocessing phase, the sharing phase, the embedding phase, and the retrieving phase, which can be demonstrated by Figure 1 and explained in Sections 3.1–3.4 in more detail, respectively.


Improved Secret Image Sharing Scheme in Embedding Capacity without Underflow and Overflow.

Pang L, Miao D, Li H, Wang Q - ScientificWorldJournal (2015)

The flowchart of the proposed scheme.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4553325&req=5

fig1: The flowchart of the proposed scheme.
Mentions: The proposed scheme consists of four parts that are the preprocessing phase, the sharing phase, the embedding phase, and the retrieving phase, which can be demonstrated by Figure 1 and explained in Sections 3.1–3.4 in more detail, respectively.

Bottom Line: Although the underflow and overflow situations have been well dealt with by different methods, the embedding capacities of these methods are reduced more or less.Motivated by these concerns, we propose a novel scheme, in which we take the differential coding, Huffman coding, and data converting to compress the secret image before embedding it to further improve the embedding capacity, and the pixel mapping matrix embedding method with a newly designed matrix is used to embed secret image data into the cover image to avoid the underflow and overflow situations.Experiment results show that our scheme can improve the embedding capacity further and eliminate the underflow and overflow situations at the same time.

View Article: PubMed Central - PubMed

Affiliation: School of Life Science and Technology, Xidian University, Xi'an 710071, China ; Department of Computer Science, Wayne State University, Detroit, MI 48202, USA.

ABSTRACT
Computational secret image sharing (CSIS) is an effective way to protect a secret image during its transmission and storage, and thus it has attracted lots of attentions since its appearance. Nowadays, it has become a hot topic for researchers to improve the embedding capacity and eliminate the underflow and overflow situations, which is embarrassing and difficult to deal with. The scheme, which has the highest embedding capacity among the existing schemes, has the underflow and overflow problems. Although the underflow and overflow situations have been well dealt with by different methods, the embedding capacities of these methods are reduced more or less. Motivated by these concerns, we propose a novel scheme, in which we take the differential coding, Huffman coding, and data converting to compress the secret image before embedding it to further improve the embedding capacity, and the pixel mapping matrix embedding method with a newly designed matrix is used to embed secret image data into the cover image to avoid the underflow and overflow situations. Experiment results show that our scheme can improve the embedding capacity further and eliminate the underflow and overflow situations at the same time.

No MeSH data available.


Related in: MedlinePlus