+}
+
+
+@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}
+}
+
+
+
+
+
