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-\keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome treillis code}
+\keywords{Steganography, least-significant-bit (LSB)-based steganography, edge detection, Canny filter, security, syndrome trellis code}
-Its main avantage for being is to be much lighter than the so-called
-Highly Undetectable steGO (HUGO) method, a well known state of the art
+Its main advantage for being is to be much lighter than the so-called
+Highly Undetectable steGO (HUGO) scheme, a well known state of the art
steganographic process in spatial domain.
Additionally to this effectiveness,
quite comparable results through noise measures like PSNR-HVS-M,
steganographic process in spatial domain.
Additionally to this effectiveness,
quite comparable results through noise measures like PSNR-HVS-M,
To achieve the proposed goal, famous experimented
components of signal processing,
coding theory, and cryptography are combined together, leading to
a scheme that can reasonably face up-to-date steganalysers.}
To achieve the proposed goal, famous experimented
components of signal processing,
coding theory, and cryptography are combined together, leading to
a scheme that can reasonably face up-to-date steganalysers.}
Highly Undetectable steGO (HUGO) steganographic scheme.
This edge-based steganographic approach embeds a Canny
detection filter, the Blum-Blum-Shub cryptographically secure
Highly Undetectable steGO (HUGO) steganographic scheme.
This edge-based steganographic approach embeds a Canny
detection filter, the Blum-Blum-Shub cryptographically secure
for minimizing distortion.
After having introduced with details the proposed method,
we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M,
BIQI, and weighted PSNR) and using well established steganalysers.
for minimizing distortion.
After having introduced with details the proposed method,
we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M,
BIQI, and weighted PSNR) and using well established steganalysers.
For future work, the authors' intention is to investigate systematically
all the existing edge detection methods, to see if the STABYLO evaluation scores can
For future work, the authors' intention is to investigate systematically
all the existing edge detection methods, to see if the STABYLO evaluation scores can
-be improved by replacing Canny with another edge filter. We will try
-to take into account the least significant bits too during all the
-stages of the algorithm, hoping by doing so to be closer to the HUGO scores against
-steganalyzers. Other steganalyzers than the ones used in this document will be
+be improved by replacing Canny with another edge filter.
+% We will try
+% to take into account the least significant bits too during all the
+% stages of the algorithm, hoping by doing so to be closer to the HUGO scores against
+% steganalyzers.
+Other steganalysers than the ones used in this document will be
examined for the sake of completeness. Finally, the
systematic replacement of all the LSBs of edges by binary digits provided
by the BBS generator will be investigated, and the consequences of such a
examined for the sake of completeness. Finally, the
systematic replacement of all the LSBs of edges by binary digits provided
by the BBS generator will be investigated, and the consequences of such a