Decreasing Change Impact Using Smart LSB Pixel Mapping and Data Rearrangement
The paper introduces a new optimization strategy in LSB steganography that reduces the image degradation rate in the steganographic carrier. We propose an LSB matching steganographic algorithm based on the principles of genetic algorithms, that aims to reuse the binary image color values in a contro...
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| creator | Mare, S. F. Vladutiu, M. Prodan, L. |
| description | The paper introduces a new optimization strategy in LSB steganography that reduces the image degradation rate in the steganographic carrier. We propose an LSB matching steganographic algorithm based on the principles of genetic algorithms, that aims to reuse the binary image color values in a controlled way so that instead of focusing to change the least significant portion of the color representation (LSBs), we remap the secret data in a manner that reduces the color information loss up to a negligible level. The algorithm improves the statistical analysis immunity of the steganographic image and at the same time offers higher PSNR (an average gain of 2,4 dB) than most of the LSB matching algorithms used in our experiments. Because of the flexibility of this approach, our method represents not only a stand-alone steganographic algorithm, but also an extension to other similar algorithms. |
| doi_str_mv | 10.1109/CIT.2011.73 |
| format | Conference Proceeding |
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The algorithm improves the statistical analysis immunity of the steganographic image and at the same time offers higher PSNR (an average gain of 2,4 dB) than most of the LSB matching algorithms used in our experiments. Because of the flexibility of this approach, our method represents not only a stand-alone steganographic algorithm, but also an extension to other similar algorithms.</description><subject>Algorithm design and analysis</subject><subject>data hiding</subject><subject>Degradation</subject><subject>Image color analysis</subject><subject>Image segmentation</subject><subject>LSB Matching</subject><subject>PSNR</subject><subject>Steganography</subject><subject>Streaming media</subject><subject>Tiles</subject><isbn>1457703831</isbn><isbn>9781457703836</isbn><isbn>9780769543888</isbn><isbn>076954388X</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjktLw0AUhUdEUGtWLt3MH0i9M5N5LTX1EUhRbFyXO5mbGmlCSLLQf2-rns2BD77DYexawFII8Ld5US0lCLG06oQl3jqwxutMOedO2aXItLWgnBLnLJmmTzjEGOeMu2DrFdUj4dT2O55_YL8jXnQD1jN__2WbDseZl5t7_tp-0Z6vcRiOHPvIVzgjfyMcx6PXUT9fsbMG9xMl_71g1eNDlT-n5ctTkd-VaethTpuogyWUmQtC1BikB1QBGxucgkg-WKNqLyE20hFlHolsgEyjjjGTGtSC3fzNtkS0Hcb2cPJ7a0AZa4X6ARQLTVc</recordid><startdate>201108</startdate><enddate>201108</enddate><creator>Mare, S. 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F. ; Vladutiu, M. ; Prodan, L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-fd5b7ea248b11cab290a3baf7b830de9b763c920df28ee49aee7b045a5dd42503</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Algorithm design and analysis</topic><topic>data hiding</topic><topic>Degradation</topic><topic>Image color analysis</topic><topic>Image segmentation</topic><topic>LSB Matching</topic><topic>PSNR</topic><topic>Steganography</topic><topic>Streaming media</topic><topic>Tiles</topic><toplevel>online_resources</toplevel><creatorcontrib>Mare, S. F.</creatorcontrib><creatorcontrib>Vladutiu, M.</creatorcontrib><creatorcontrib>Prodan, L.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mare, S. F.</au><au>Vladutiu, M.</au><au>Prodan, L.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Decreasing Change Impact Using Smart LSB Pixel Mapping and Data Rearrangement</atitle><btitle>2011 IEEE 11th International Conference on Computer and Information Technology</btitle><stitle>cit</stitle><date>2011-08</date><risdate>2011</risdate><spage>269</spage><epage>276</epage><pages>269-276</pages><isbn>1457703831</isbn><isbn>9781457703836</isbn><eisbn>9780769543888</eisbn><eisbn>076954388X</eisbn><abstract>The paper introduces a new optimization strategy in LSB steganography that reduces the image degradation rate in the steganographic carrier. We propose an LSB matching steganographic algorithm based on the principles of genetic algorithms, that aims to reuse the binary image color values in a controlled way so that instead of focusing to change the least significant portion of the color representation (LSBs), we remap the secret data in a manner that reduces the color information loss up to a negligible level. The algorithm improves the statistical analysis immunity of the steganographic image and at the same time offers higher PSNR (an average gain of 2,4 dB) than most of the LSB matching algorithms used in our experiments. Because of the flexibility of this approach, our method represents not only a stand-alone steganographic algorithm, but also an extension to other similar algorithms.</abstract><pub>IEEE</pub><doi>10.1109/CIT.2011.73</doi><tpages>8</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Algorithm design and analysis data hiding Degradation Image color analysis Image segmentation LSB Matching PSNR Steganography Streaming media Tiles |
| title | Decreasing Change Impact Using Smart LSB Pixel Mapping and Data Rearrangement |
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