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Image encryption in wavelet domain based on chaotic maps

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dc.title Image encryption in wavelet domain based on chaotic maps en
dc.contributor.author Podoba, Tomáš
dc.contributor.author Vlček, Karel
dc.contributor.author Giesl, Jiří
dc.relation.ispartof Proceedings of the 2009 2nd International Congress on Image and Signal Processing, Vols 1-9
dc.identifier.isbn 978-1-4244-4130-3
dc.date.issued 2009
dc.citation.spage 3557
dc.citation.epage 3561
dc.event.title 2nd International Congress on Image and Signal Processing
dc.event.location Tianjin
utb.event.state-en China
utb.event.state-cs Čína
dc.event.sdate 2009-10-17
dc.event.edate 2009-10-19
dc.type conferenceObject
dc.language.iso en
dc.publisher The Institute of Electrical and Electronics Engineers (IEEE) en
dc.identifier.doi 10.1109/CISP.2009.5302874
dc.relation.uri http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5302874
dc.subject component en
dc.subject encryption en
dc.subject decryption en
dc.subject wavelet en
dc.subject domain en
dc.subject chaotic maps en
dc.description.abstract It is commonly known that chaotic systems are extremely sensitive to initial parameters and these systems can be very helpful in the field of cryptography from this reason. Logistic maps of deterministic chaos can be used for the generation of encryption key. This key is then used for the image encryption. This paper proposes usage of chaotic encryption and its application in the wavelet domain of dyadic decomposed image. Modification of wavelet components leads to massive degradation of image. Decryption with unauthorized key is very difficult due to the initial parameter sensitivity of this encryption scheme. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1001839
utb.identifier.obdid 43861817
utb.identifier.scopus 2-s2.0-73849102965
utb.identifier.wok 000280804302042
utb.source d-wok
dc.date.accessioned 2011-08-09T07:34:03Z
dc.date.available 2011-08-09T07:34:03Z
utb.contributor.internalauthor Podoba, Tomáš
utb.contributor.internalauthor Vlček, Karel
utb.contributor.internalauthor Giesl, Jiří
utb.fulltext.affiliation Tomáš Podoba Department of Applied Informatics Tomas Bata University Zlín, Czech Republic Karel Vlček Department of Applied Informatics Tomas Bata University Zlín, Czech Republic Jiří Giesl Department of Applied Informatics Tomas Bata University Zlín, Czech Republic
utb.fulltext.dates -
utb.fulltext.references [1] Fu, Ch., Zhang, Z., Chen, Y., Wang, X., An Improved Chaos-Based Image Encryption Scheme. ICCS 2007, Springer-Verlag, Berlin, 2007. [2] Giesl, J., Vlček, K., Fractal Image Compression using the wavelet transformation. IWCIT 2007 - International Workshop Control and Information Technology, VŠB - Technical University of Ostrava, 2007. [3] Kiselev, A., Fundamentals of the Wavelet Transform Theory [online]. Available at WWW: http://www.basegroup.ru/filtration/intro-towavelets.en.htm, 2004. [4] Lian, S., Secure Fractal Image Coding. France Telecom R&D Beijing, 2 Science Institute South Rd., Beijing, Springer-Verlag, Berlin, 2007. [5] Mao, Y., Chen, G., Chaos-Based Image Encryption. Springer-Verlag, Berlin, 2003. [6] Seo, Y.H., Kim, D.W., Yoo, J.S., Dey, S., Agrawal, A., Wavelet Domain Image Encryption by Subband Selection and Data Bit Selection. Springer-Verlag, Berlin, 2003. [7] Sheng, Y., Wavelet transform. CRC Press LLC, 2000. [8] Wong, K.W., Kwok, B.S.H., Law, W.S. A Fast Image Encryption Scheme based on Chaotic Standard Map. Springer-Verlag, Berlin, 2006.
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