Proceedings of 2013 International Conference on Information Science and Computer Applications

An Image Adaptive Steganogaphy Algorithm Based on Sparse Representation and Entropy

Authors
Chunmei Yu, Jianjun Wang
Corresponding Author
Chunmei Yu
Available Online October 2013.
DOI
https://doi.org/10.2991/isca-13.2013.37How to use a DOI?
Keywords
sparse representation; entropy; image adaptive steganography; steganalysis
Abstract
According to the image processing theory, complex texture image regions have larger entropy values, an adaptive steganography algorithm in the sparse domain is proposed here. The algorithm first divides an image into nonoverlapping image blocks, then computes the entropy of each block and chooses the mean of all entropies as a threshold. Image blocks whose entropy is higher than the threshold are selected for sparse decomposition as complex texture image regions. The secret message is embedded into the decomposition coefficients, and then the stego image is reconstructed with modified coefficients. The experimental results prove that, given the same payload, the proposed adaptive algorithm has a better performance against the steganalyzer.
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Proceedings
2013 International Conference on Information Science and Computer Applications (ISCA 2013)
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2013
ISBN
978-90786-77-85-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/isca-13.2013.37How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunmei Yu
AU  - Jianjun Wang
PY  - 2013/10
DA  - 2013/10
TI  - An Image Adaptive Steganogaphy Algorithm Based on Sparse Representation and Entropy
BT  - 2013 International Conference on Information Science and Computer Applications (ISCA 2013)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/isca-13.2013.37
DO  - https://doi.org/10.2991/isca-13.2013.37
ID  - Yu2013/10
ER  -