A new steganographic method called STABYLO is introduced in
this research work.
Its main advantage is to be much lighter than the so-called
-HUGO, WOW, and UNIWARDS schemes, the state of the art
+HUGO, WOW, and UNIWARD schemes, the state of the art
steganographic processes.
Additionally to this effectiveness,
quite comparable results through noise measures like PSNR-HVS-M
Adaptive, Bbs, and binarY embedding at LOw cost, has been introduced
in this document as an efficient method having comparable, though
somewhat smaller, security than well-known
-steganographic schemes lite
+steganographic schemes
HUGO, WOW, and UNIWARD.
This edge-based steganographic approach embeds a Canny
-detection filter, the Blum-Blum-Shub cryptographically secure
-pseudorandom number generator, together with Syndrome-Trellis Codes
+detection filter, the secure Blum-Blum-Shub cryptosystem
+with its pseudorandom number generator,
+together with Syndrome-Trellis Codes
for minimizing distortion.
-After having introduced with details the proposed method,
-we have evaluated it through noise measures (namely, the PSNR, PSNR-HVS-M,
-and weighted PSNR), we have used well-established steganalysers.
+The complexity study of our proposed method and of the
+state of the art steganographic tools has shown that our approach
+has the lowest computation cost among all.
+This justifies the lightweight attribute of our scheme.
+The evaluation of introduced noise measures
+(namely, the PSNR, PSNR-HVS-M, and weighted PSNR),
+and of its embedding through stegenalysers (namely Ensemble Classifier)
+have shown that STABYLO is efficient enough to
+produce qualitative images and
+to face steganalysers.
+
+
+
% Of course, other detectors like the fuzzy edge methods
% deserve much further attention, which is why we intend
