Digital image encoding using hyperchaos
In this paper we present a digital gray-level image encoding method based on hyperchaotic maps, which have positive Lyapunov exponents in more than one direction and can be combined with an algebraic output equation. 2D and 3D maps are used to perform pixel value and pixel position permutation simul...
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| creator | Belkhouche, F. Gokcen, I. |
| description | In this paper we present a digital gray-level image encoding method based on hyperchaotic maps, which have positive Lyapunov exponents in more than one direction and can be combined with an algebraic output equation. 2D and 3D maps are used to perform pixel value and pixel position permutation simultaneously. The sensitivity to the initial states guarantees the diffusion property where local pixels spread out on the entire image and become uncorrelated. Our experiments illustrate that 2D and 3D hyperchaotic maps with large key spaces improve both the diffusion and confusion properties compared to chaotic maps. Parallel encoding is also discussed for large-scale images. |
| doi_str_mv | 10.1109/ICSMC.2009.5346253 |
| format | Conference Proceeding |
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The sensitivity to the initial states guarantees the diffusion property where local pixels spread out on the entire image and become uncorrelated. Our experiments illustrate that 2D and 3D hyperchaotic maps with large key spaces improve both the diffusion and confusion properties compared to chaotic maps. 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The sensitivity to the initial states guarantees the diffusion property where local pixels spread out on the entire image and become uncorrelated. Our experiments illustrate that 2D and 3D hyperchaotic maps with large key spaces improve both the diffusion and confusion properties compared to chaotic maps. Parallel encoding is also discussed for large-scale images.</description><subject>Chaotic communication</subject><subject>Cryptography</subject><subject>Digital images</subject><subject>Equations</subject><subject>Hyperchaos</subject><subject>Image coding</subject><subject>image encoding</subject><subject>Iterative algorithms</subject><subject>Logistics</subject><subject>Piecewise linear techniques</subject><subject>Pixel</subject><subject>Security</subject><issn>1062-922X</issn><issn>2577-1655</issn><isbn>9781424427932</isbn><isbn>1424427932</isbn><isbn>9781424427949</isbn><isbn>1424427940</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2009</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjztPAkEUhccHiQvyB7TZzmrXe--89pZmfUACsZDCjoyzM8sYBLKLBf9ejDQ25ytO8uUcIW4QSkTg-2n9Nq9LAuBSS2VIyzMxZluhIqXIsuJzkZG2tkCj9cW_TtKlyBAMFUz0PhDDo6ZiMKaCKzHs-08AAoVVJu4eU5v2bp2nL9eGPGz8tkmbNv_uf3N12IXOr9y2vxaD6NZ9GJ84Eovnp0U9KWavL9P6YVYktHpffFgfOUYdtfUhSKTGkFeOokfWDSivPLCT0gFJG33UHJxFKS1VqB3Lkbj906YQwnLXHVd1h-Xpv_wBNWtHUA</recordid><startdate>200910</startdate><enddate>200910</enddate><creator>Belkhouche, F.</creator><creator>Gokcen, I.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200910</creationdate><title>Digital image encoding using hyperchaos</title><author>Belkhouche, F. ; Gokcen, I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-b7cf9ff5f57cee312d62c4a2fc195d04c4c09a33a0237fcf59ea713372815a93</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Chaotic communication</topic><topic>Cryptography</topic><topic>Digital images</topic><topic>Equations</topic><topic>Hyperchaos</topic><topic>Image coding</topic><topic>image encoding</topic><topic>Iterative algorithms</topic><topic>Logistics</topic><topic>Piecewise linear techniques</topic><topic>Pixel</topic><topic>Security</topic><toplevel>online_resources</toplevel><creatorcontrib>Belkhouche, F.</creatorcontrib><creatorcontrib>Gokcen, I.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Belkhouche, F.</au><au>Gokcen, I.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Digital image encoding using hyperchaos</atitle><btitle>2009 IEEE International Conference on Systems, Man and Cybernetics</btitle><stitle>ICSMC</stitle><date>2009-10</date><risdate>2009</risdate><spage>1349</spage><epage>1352</epage><pages>1349-1352</pages><issn>1062-922X</issn><eissn>2577-1655</eissn><isbn>9781424427932</isbn><isbn>1424427932</isbn><eisbn>9781424427949</eisbn><eisbn>1424427940</eisbn><abstract>In this paper we present a digital gray-level image encoding method based on hyperchaotic maps, which have positive Lyapunov exponents in more than one direction and can be combined with an algebraic output equation. 2D and 3D maps are used to perform pixel value and pixel position permutation simultaneously. 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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Chaotic communication Cryptography Digital images Equations Hyperchaos Image coding image encoding Iterative algorithms Logistics Piecewise linear techniques Pixel Security |
| title | Digital image encoding using hyperchaos |
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