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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 embedding capacity EC with determined secret image.
© Copyright Policy - open-access
Related In: Results  -  Collection


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fig8: The embedding capacity EC with determined secret image.

Mentions: From Figure 7, the largest value of RC can be 2.4 and the average value of RC can be 1.8. Table 6 shows that the largest embedding capacity can be 1.18 × (t − 1) of the size of the cover image in the proposed scheme. And the average embedding capacity is almost 0.9 × (t − 1) times of the cover image. Also, Figure 8 shows the embedding capacity with determined secret image for various values of t. It is clear that when the secret image and the cover image are determined, the embedding capacity EC rises with t.


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

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

The embedding capacity EC with determined secret image.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

fig8: The embedding capacity EC with determined secret image.
Mentions: From Figure 7, the largest value of RC can be 2.4 and the average value of RC can be 1.8. Table 6 shows that the largest embedding capacity can be 1.18 × (t − 1) of the size of the cover image in the proposed scheme. And the average embedding capacity is almost 0.9 × (t − 1) times of the cover image. Also, Figure 8 shows the embedding capacity with determined secret image for various values of t. It is clear that when the secret image and the cover image are determined, the embedding capacity EC rises with t.

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