A novel robust logo watermarking scheme using fractional M-band wavelet transform
Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fr...
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| Veröffentlicht in: | Journal of communications technology & electronics 2014-11, Vol.59 (11), p.1234-1246 |
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| container_title | Journal of communications technology & electronics |
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| creator | Singh, H. Kaur, L. Singh, K. |
| description | Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fractional M-band wavelet transform (Fr-M-band-WT) is proposed. The watermark is embedded in the multiresolution Fr-M-band-WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi-resolution nature of Fr-M-band-WT is exploited in the process of edge detection. Experimental results of the proposed logo watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods. |
| doi_str_mv | 10.1134/S1064226914110199 |
| format | Article |
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This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fractional M-band wavelet transform (Fr-M-band-WT) is proposed. The watermark is embedded in the multiresolution Fr-M-band-WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi-resolution nature of Fr-M-band-WT is exploited in the process of edge detection. Experimental results of the proposed logo watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods.</description><identifier>ISSN: 1064-2269</identifier><identifier>EISSN: 1555-6557</identifier><identifier>DOI: 10.1134/S1064226914110199</identifier><language>eng</language><publisher>Moscow: Pleiades Publishing</publisher><subject>Algorithms ; Analysis ; Communications Engineering ; Copyright ; Digital broadcasting ; Digital media ; Digital transmission ; Digital watermarks ; Edge detection ; Engineering ; Fourier transforms ; Logos ; Messages ; Multimedia ; Networks ; Signal processing ; Spread spectrum ; Studies ; Texts ; Theory and Methods of Signal Processing ; Watermarking ; Wavelet transforms</subject><ispartof>Journal of communications technology & electronics, 2014-11, Vol.59 (11), p.1234-1246</ispartof><rights>Pleiades Publishing, Inc. 2014</rights><rights>COPYRIGHT 2014 Springer</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c459t-2c0f947510a3bd49f98b8e8ce603ac56677a05c4779f1b03038bfa7e74a665593</citedby><cites>FETCH-LOGICAL-c459t-2c0f947510a3bd49f98b8e8ce603ac56677a05c4779f1b03038bfa7e74a665593</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1134/S1064226914110199$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1134/S1064226914110199$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Singh, H.</creatorcontrib><creatorcontrib>Kaur, L.</creatorcontrib><creatorcontrib>Singh, K.</creatorcontrib><title>A novel robust logo watermarking scheme using fractional M-band wavelet transform</title><title>Journal of communications technology & electronics</title><addtitle>J. Commun. Technol. Electron</addtitle><description>Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fractional M-band wavelet transform (Fr-M-band-WT) is proposed. The watermark is embedded in the multiresolution Fr-M-band-WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi-resolution nature of Fr-M-band-WT is exploited in the process of edge detection. Experimental results of the proposed logo watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods.</description><subject>Algorithms</subject><subject>Analysis</subject><subject>Communications Engineering</subject><subject>Copyright</subject><subject>Digital broadcasting</subject><subject>Digital media</subject><subject>Digital transmission</subject><subject>Digital watermarks</subject><subject>Edge detection</subject><subject>Engineering</subject><subject>Fourier transforms</subject><subject>Logos</subject><subject>Messages</subject><subject>Multimedia</subject><subject>Networks</subject><subject>Signal processing</subject><subject>Spread spectrum</subject><subject>Studies</subject><subject>Texts</subject><subject>Theory and Methods of Signal Processing</subject><subject>Watermarking</subject><subject>Wavelet transforms</subject><issn>1064-2269</issn><issn>1555-6557</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kcFu1TAQRSMEEqXwAewisQGpKXZsx_HyqQJaqQhBYR05fuM0JbGLx6Hw90yULvpAyJI99pxrzZ0pipecnXIu5NsrzhpZ143hknPGjXlUHHGlVNUopR9TTOlqzT8tniHeMCZMw8RR8XlXhvgTpjLFfsFcTnGI5Z3NkGabvo9hKNFdwwzlguvFJ-vyGIOdyo9Vb8OeWFJDLnOyAX1M8_PiibcTwov787j49v7d17Pz6vLTh4uz3WXlpDK5qh3zRmrFmRX9Xhpv2r6F1gGVZZ1qGq0tU05qbTzvmWCi7b3VoKVtyJMRx8Xr7d_bFH8sgLmbR3QwTTZAXLDj1A9SaSUIffUXehOXRCZWqpZty2pVE3W6UYOdoBuDj-TJ0drDPLoYwI_0vhOGrx1mawVvDgTEZPiVB7sgdhdXXw7Zkwdsv3YTkDYch-uMm-QA5xvuUkRM4LvbNNJEfnecdevAu38GTpp60yCxYYD0wOV_RX8Amqupuw</recordid><startdate>20141101</startdate><enddate>20141101</enddate><creator>Singh, H.</creator><creator>Kaur, L.</creator><creator>Singh, K.</creator><general>Pleiades Publishing</general><general>Springer</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>N95</scope><scope>XI7</scope><scope>ISR</scope><scope>3V.</scope><scope>7SP</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>88K</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>L.-</scope><scope>L7M</scope><scope>M0C</scope><scope>M2P</scope><scope>M2T</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYYUZ</scope><scope>Q9U</scope></search><sort><creationdate>20141101</creationdate><title>A novel robust logo watermarking scheme using fractional M-band wavelet transform</title><author>Singh, H. ; 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Commun. Technol. Electron</stitle><date>2014-11-01</date><risdate>2014</risdate><volume>59</volume><issue>11</issue><spage>1234</spage><epage>1246</epage><pages>1234-1246</pages><issn>1064-2269</issn><eissn>1555-6557</eissn><abstract>Digital watermarking, means of hiding/inserting a message, which can be an image, audio, video or text within the digital media. This hidden/inserting message can be later being extracted or detected for a variety of purposes. In this paper, a novel multi-resolution logo watermarking scheme using fractional M-band wavelet transform (Fr-M-band-WT) is proposed. The watermark is embedded in the multiresolution Fr-M-band-WT coefficients of low frequency bands of the host image using singular value decomposition (SVD). A multi-resolution nature of Fr-M-band-WT is exploited in the process of edge detection. Experimental results of the proposed logo watermarking scheme are compared with the previously available watermarking algorithms, fractional Fourier transform (FrFT), fractional wavelet transform (FrWT). Further, the proposed watermark extraction scheme is also tested on different attacks. The results after being investigated the proposed watermarking scheme shows a significant improvement as compared to other existing methods.</abstract><cop>Moscow</cop><pub>Pleiades Publishing</pub><doi>10.1134/S1064226914110199</doi><tpages>13</tpages></addata></record> |
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| subjects | Algorithms Analysis Communications Engineering Copyright Digital broadcasting Digital media Digital transmission Digital watermarks Edge detection Engineering Fourier transforms Logos Messages Multimedia Networks Signal processing Spread spectrum Studies Texts Theory and Methods of Signal Processing Watermarking Wavelet transforms |
| title | A novel robust logo watermarking scheme using fractional M-band wavelet transform |
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