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4.4 CONCLUSION
By applying the proposed scaling factor
12
j
in a color image, there is an
adjustment factor for the energy input in each submatrix. It is also noted
that when is changing the value of
j
, it adjusts the sharpness and image
clarity, providing a visible improvement of the visual image.
The CLCES method uses thresholds based on the standard deviation of
the local complexity of the cover image to provide a compromise between
the embedding capacity and the image visual quality. Different color spac-
es are incorporated in the proposed schemes to ensure that the differences
between the cover and stego-images are indistinguishable by the HVS.
The proposed CLCES method is a secure steganographic method outper-
forming other methods by balancing the image quality and the embed-
ding capacity providing a better security against attacks of steganalyzers
in comparison with other methods. Finally, the proposed scheme is simple,
effi cient, and feasible for the adaptive steganographic applications.
ACKNOWLEDGMENTS
The work is supported by National Polytechnic Institute of Mexico (IPN),
and National Council on Science and Technology (CONACYT) Mexico.
KEYWORDS
•
Discrete wavelet transform
•
Scaling factor
•
Steganographic
•
Stegoanalysis
REFERENCES
1. Cheddad, A.; Condell, J.; Curran, K.; and Mc Kevitt, P.; Digital image steganography:
Survey and analysis of current methods.
Signal Processing.
2010,
90,
727-752.
2. Petitcolas, F. A. P.; Anderson, R. J.; and Kuhn, M. G.; Information hiding—a survey.
Proc. IEEE
.
1999,
87(7),
1062-1078.
3. Petticolas, F.; and Katzenbeisser, S.; Information Hiding Techniques for Steganogra-
phy and Digital Watermarking. Boston: Artech House;
2000
.
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