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Parameters Relation of Quantization-based Watermarking Algorithms
We introduce the necessary and sufficient conditions for robustness of watermarking algorithms and the relation of attack energy, embedding strength and distinction parameter. This solves the problem of choosing the embedding parameter effectively and provides the approach for controlling the embedd...
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creator | Changzhen Xiong Junyi Xu Jiancheng Zou |
description | We introduce the necessary and sufficient conditions for robustness of watermarking algorithms and the relation of attack energy, embedding strength and distinction parameter. This solves the problem of choosing the embedding parameter effectively and provides the approach for controlling the embedding strength optimally. Then we analyze the optimization of fixed fidelity for a given PSNR (peak signal-to-noise ratio) and BER (bit error rate) under Gaussian noise attacks and get the upper limit of the embedding strength in spatial domain. We present the computation method of the embedding capacity for a given BER, embedding strength and attack energy under Gaussian noise attacks. The experimental results support the analysis |
doi_str_mv | 10.1109/ISSPIT.2006.270768 |
format | conference_proceeding |
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The experimental results support the analysis</description><subject>attack-resistance</subject><subject>Bit error rate</subject><subject>digital watermarking</subject><subject>Educational institutions</subject><subject>Gaussian noise</subject><subject>Information analysis</subject><subject>Information science</subject><subject>Noise robustness</subject><subject>PSNR</subject><subject>Quantization</subject><subject>robustness</subject><subject>Signal processing algorithms</subject><subject>Watermarking</subject><issn>2162-7843</issn><isbn>0780397533</isbn><isbn>9780780397538</isbn><isbn>9780780397545</isbn><isbn>0780397541</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNo1jttKxDAYhCMquK59Ab3pC7Qmfw5_clkWXQsLru6Kl0vaTdZoD9LUC316i4dhYPhgGIaQS0Zzxqi5LjebdbnNgVKVA1JU-ogkBjWdzA1KIY_J-T9wfkJmwBRkqAU_I0mMr3QSN0pyOSPF2g62daMbYvroGjuGvkt7nz582G4MXz-cVTa6ffpsp1Zrh7fQHdKiOfRDGF_aeEFOvW2iS_5yTp5ub7aLu2x1vywXxSoLDOWYCdgzb5ALhZpbKizzyrq6rnWlFJMSNCICqytWIXeV8NpLAK9qbTk6A3xOrn53g3Nu9z6E6crnTlABwCj_Bg-JTVU</recordid><startdate>200608</startdate><enddate>200608</enddate><creator>Changzhen Xiong</creator><creator>Junyi Xu</creator><creator>Jiancheng Zou</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200608</creationdate><title>Parameters Relation of Quantization-based Watermarking Algorithms</title><author>Changzhen Xiong ; Junyi Xu ; Jiancheng Zou</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-42d1f97346783a04a1f6aeccc8b661552877721cb1b73eb4f8f522f6c8a37e923</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>attack-resistance</topic><topic>Bit error rate</topic><topic>digital watermarking</topic><topic>Educational institutions</topic><topic>Gaussian noise</topic><topic>Information analysis</topic><topic>Information science</topic><topic>Noise robustness</topic><topic>PSNR</topic><topic>Quantization</topic><topic>robustness</topic><topic>Signal processing algorithms</topic><topic>Watermarking</topic><toplevel>online_resources</toplevel><creatorcontrib>Changzhen Xiong</creatorcontrib><creatorcontrib>Junyi Xu</creatorcontrib><creatorcontrib>Jiancheng Zou</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 Xplore / Electronic Library Online (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>Changzhen Xiong</au><au>Junyi Xu</au><au>Jiancheng Zou</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Parameters Relation of Quantization-based Watermarking Algorithms</atitle><btitle>2006 IEEE International Symposium on Signal Processing and Information Technology</btitle><stitle>ISSPIT</stitle><date>2006-08</date><risdate>2006</risdate><spage>49</spage><epage>54</epage><pages>49-54</pages><issn>2162-7843</issn><isbn>0780397533</isbn><isbn>9780780397538</isbn><eisbn>9780780397545</eisbn><eisbn>0780397541</eisbn><abstract>We introduce the necessary and sufficient conditions for robustness of watermarking algorithms and the relation of attack energy, embedding strength and distinction parameter. This solves the problem of choosing the embedding parameter effectively and provides the approach for controlling the embedding strength optimally. Then we analyze the optimization of fixed fidelity for a given PSNR (peak signal-to-noise ratio) and BER (bit error rate) under Gaussian noise attacks and get the upper limit of the embedding strength in spatial domain. We present the computation method of the embedding capacity for a given BER, embedding strength and attack energy under Gaussian noise attacks. The experimental results support the analysis</abstract><pub>IEEE</pub><doi>10.1109/ISSPIT.2006.270768</doi><tpages>6</tpages></addata></record> |
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identifier | ISSN: 2162-7843 |
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subjects | attack-resistance Bit error rate digital watermarking Educational institutions Gaussian noise Information analysis Information science Noise robustness PSNR Quantization robustness Signal processing algorithms Watermarking |
title | Parameters Relation of Quantization-based Watermarking Algorithms |
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