+The STABYLO algorithm, whose acronym means STeganography with
+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 the well-known
+Highly Undetectable steGO (HUGO) steganographic scheme.
+This edge-based steganographic approach embeds a Canny
+detection filter, the Blum-Blum-Shub cryptographically secure
+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,
+BIQI, and weighted PSNR), we have used well-established steganalysers.
+
+% Of course, other detectors like the fuzzy edge methods
+% deserve much further attention, which is why we intend
+% to investigate systematically all of these detectors in our next work.
+
+
+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.
+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
+replacement, in terms of security, will be discussed.
+Furthermore, we plan to investigate information hiding on other models, such as high frequency for JPEG encoding.
+
+
+\bibliographystyle{compj}
+\bibliography{abbrev,biblioand}