acmid = {2333587},
publisher = {IEEE Press},
address = {Piscataway, NJ, USA},
-}
\ No newline at end of file
+}
+
+
+@inproceedings{Tyan1993,
+ abstract = {{Novel algorithms for image enhancement, filtering and edge detection using the fuzzy logic approach are proposed. An enhancement technique based on various combinations of fuzzy logic linguistic statements in the form of if-then rules modifies the image contrast and provides a linguistic approach to image enhancement. A fuzzy filtering technique based on the tuning of fuzzy membership functions in the frequency domain results in improved restoration of an image which is degraded by additive random noise. An improved performance compared with traditional mask convolution filtering is also evident from the SNR improvement of 4.03 dB. The fuzzy edge detection algorithm provides a variety of edge information. The fuzzy edge detection algorithm is compared with some existing edge detection algorithms to show its novelty}},
+ address = {{San Francisco, CA, USA}},
+ author = {Tyan, C. Y. and Wang, P. P.},
+ booktitle = {{Proceedings of the Second IEEE International Conference on Fuzzy Systems}},
+ citeulike-article-id = {7936501},
+ keywords = {additive, and, approach, computational, detection, domain, edge, enhancement, filtering, frequency, functions, fuzzy, if-then, image, linguistic, linguistics, logic, membership, noise, prediction, processing, random, restoration, rules, set, statements, theory},
+ pages = {600--605},
+ posted-at = {2010-10-01 17:27:48},
+ priority = {0},
+ title = {{Image processing-enhancement, filtering and edge detection using the fuzzy logic approach}},
+ volume = {1},
+ year = {1993}
+}
+
+
+@article{Canny:1986:CAE:11274.11275,
+ author = {Canny, J},
+ title = {A Computational Approach to Edge Detection},
+ journal = {IEEE Trans. Pattern Anal. Mach. Intell.},
+ issue_date = {June 1986},
+ volume = {8},
+ number = {6},
+ month = jun,
+ year = {1986},
+ issn = {0162-8828},
+ pages = {679--698},
+ numpages = {20},
+ url = {http://dx.doi.org/10.1109/TPAMI.1986.4767851},
+ doi = {10.1109/TPAMI.1986.4767851},
+ acmid = {11275},
+ publisher = {IEEE Computer Society},
+ address = {Washington, DC, USA},
+ keywords = {Edge detection, feature extraction, image processing, machine vision, multiscale image analysis},
+}
+
+
+@inproceedings{DBLP:conf/ih/FridrichKHG11a,
+ author = {Jessica J. Fridrich and
+ Jan Kodovsk{\'y} and
+ Vojtech Holub and
+ Miroslav Goljan},
+ title = {Steganalysis of Content-Adaptive Steganography in Spatial
+ Domain},
+ booktitle = {Information Hiding},
+ year = {2011},
+ pages = {102-117},
+ ee = {http://dx.doi.org/10.1007/978-3-642-24178-9_8},
+ crossref = {DBLP:conf/ih/2011},
+ bibsource = {DBLP, http://dblp.uni-trier.de}
+}
+@proceedings{DBLP:conf/ih/2011,
+ editor = {Tom{\'a}s Filler and
+ Tom{\'a}s Pevn{\'y} and
+ Scott Craver and
+ Andrew D. Ker},
+ title = {Information Hiding - 13th International Conference, IH 2011,
+ Prague, Czech Republic, May 18-20, 2011, Revised Selected
+ Papers},
+ booktitle = {Information Hiding},
+ publisher = {Springer},
+ series = {Lecture Notes in Computer Science},
+ volume = {6958},
+ year = {2011},
+ isbn = {978-3-642-24177-2},
+ ee = {http://dx.doi.org/10.1007/978-3-642-24178-9},
+ bibsource = {DBLP, http://dblp.uni-trier.de}
+}
+
+@inproceedings{DBLP:conf/iwdw/Fridrich11,
+ author = {Jessica J. Fridrich},
+ title = {Modern Trends in Steganography and Steganalysis},
+ booktitle = {IWDW},
+ year = {2011},
+ pages = {1},
+ ee = {http://dx.doi.org/10.1007/978-3-642-32205-1_1},
+ crossref = {DBLP:conf/iwdw/2011},
+ bibsource = {DBLP, http://dblp.uni-trier.de}
+}
+@proceedings{DBLP:conf/iwdw/2011,
+ editor = {Yun-Qing Shi and
+ Hyoung-Joong Kim and
+ Fernando P{\'e}rez-Gonz{\'a}lez},
+ title = {Digital Forensics and Watermarking - 10th International
+ Workshop, IWDW 2011, Atlantic City, NJ, USA, October 23-26,
+ 2011, Revised Selected Papers},
+ booktitle = {IWDW},
+ publisher = {Springer},
+ series = {Lecture Notes in Computer Science},
+ volume = {7128},
+ year = {2012},
+ isbn = {978-3-642-32204-4},
+ ee = {http://dx.doi.org/10.1007/978-3-642-32205-1},
+ bibsource = {DBLP, http://dblp.uni-trier.de}
+}
+
+
+
+
+
Thanks to this feature set, HUGO allows to embed $7\times$ longer messages with the same level of
indetectability than LSB matching.
However, this improvement is time consuming, mainly due to the distortion function
-computation.
+computation.
+
There remains a large place between random selection of LSB and feature based modification of pixel values.
We argue that modifying edge pixels is an acceptable compromise.
Then the data hiding algorithm is achieved by applying LSBMR on pixels of this region.
The authors show that this method is more efficient than all the LSB, LSBM, LSBMR approaches
thanks to extensive experiments.
-However, it has been shown that the distinguish error with LSB embedding is fewer than the one with some binary embedding~\cite{DBLP:journals/tifs/FillerJF11}.
+However, it has been shown that the distinguish error with LSB embedding is fewer than
+the one with some binary embedding~\cite{DBLP:journals/tifs/FillerJF11}.
We thus propose to take benefit of these optimized embedding, provided it is not too time consuming.
-Experiments have confirmed such a fact\JFC{Raphael....}.
+In the latter, an hybrid edge detector is presented followed by an ad'hoc
+embedding approach.
+The Edge detection is computed by combining fuzzy logic~\cite{Tyan1993}
+and Canny~\cite{Canny:1986:CAE:11274.11275} approaches. The goal of this combination
+is to enlarge the set of modified bits to increase the payload.
+
+
+But, one can notice that all the previous referenced
+schemes~\cite{Luo:2010:EAI:1824719.1824720,DBLP:journals/eswa/ChenCL10,DBLP:conf/ih/PevnyFB10}
+produce stego content
+with only considering the payload, not the type of image signal: the higher the payload is,
+the better the approach is said to be.
+Contrarely, we argue that some images should'nt be taken as a cover because of the nature of their signal.
+Consider for instance a uniformly black image: a very tiny modification of its pixels can be easily detectable.
+The approach we propose is thus to provide a self adaptive algorithm with a high payload, which depends on the
+cover signal.
+
\JFC{Christophe : énoncer la problématique du besoin de crypto et de ``cryptographiquement sûr'', les algo déjà cassés....
l'efficacité d'un encodage/décodage ...}
-To deal with security issues, message is encrypted
+To deal with security issues, message is encrypted...
-In this paper, we thus propose to combine tried and tested techniques of signal theory (the adaptive edge detection), coding (the binary embedding), and cryptography
-(the encrypt the message) to compute an efficient steganography scheme that is amenable to be executed on small devices.
+In this paper, we thus propose to combine tried and
+tested techniques of signal theory (the adaptive edge detection), coding (the binary embedding), and cryptography
+(the encrypt the message) to compute an efficient steganography
+scheme, which takes into consideration the cover image
+an which is amenable to be executed on small devices.
The rest of the paper is organised as follows.
Section~\ref{sec:ourapproach} presents the details of our steganographic scheme.
