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Blind curvelet watermarking method for high-quality images
The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To me...
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Published in: | Electronics letters 2017-09, Vol.53 (19), p.1302-1304 |
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container_end_page | 1304 |
container_issue | 19 |
container_start_page | 1302 |
container_title | Electronics letters |
container_volume | 53 |
creator | Kim, W.-H Nam, S.-H Lee, H.-K |
description | The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods. |
doi_str_mv | 10.1049/el.2017.0955 |
format | article |
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Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods.</description><identifier>ISSN: 0013-5194</identifier><identifier>ISSN: 1350-911X</identifier><identifier>EISSN: 1350-911X</identifier><identifier>DOI: 10.1049/el.2017.0955</identifier><language>eng</language><publisher>The Institution of Engineering and Technology</publisher><subject>BER ; blind curvelet watermarking method ; correlation value ; curvelet domain ; curvelet filter ; curvelet transformation ; curvelet transforms ; distortion ; filtering theory ; forward curvelet transform ; high‐quality images ; Image and vision processing and display technology ; image quality ; image watermarking ; inverse curvelet transform ; inverse transforms ; multidirectional decomposition technique ; watermark distortion minimisation ; watermark‐embedding energy minimisation method</subject><ispartof>Electronics letters, 2017-09, Vol.53 (19), p.1302-1304</ispartof><rights>The Institution of Engineering and Technology</rights><rights>2020 The Institution of Engineering and Technology</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3437-7db09d3a57d6282a575194705954c324096aae014d3807fa187c20871104e6b03</citedby><cites>FETCH-LOGICAL-c3437-7db09d3a57d6282a575194705954c324096aae014d3807fa187c20871104e6b03</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1049%2Fel.2017.0955$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1049%2Fel.2017.0955$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,9755,11562,27924,27925,46052,46476</link.rule.ids><linktorsrc>$$Uhttps://onlinelibrary.wiley.com/doi/abs/10.1049%2Fel.2017.0955$$EView_record_in_Wiley-Blackwell$$FView_record_in_$$GWiley-Blackwell</linktorsrc></links><search><creatorcontrib>Kim, W.-H</creatorcontrib><creatorcontrib>Nam, S.-H</creatorcontrib><creatorcontrib>Lee, H.-K</creatorcontrib><title>Blind curvelet watermarking method for high-quality images</title><title>Electronics letters</title><description>The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods.</description><subject>BER</subject><subject>blind curvelet watermarking method</subject><subject>correlation value</subject><subject>curvelet domain</subject><subject>curvelet filter</subject><subject>curvelet transformation</subject><subject>curvelet transforms</subject><subject>distortion</subject><subject>filtering theory</subject><subject>forward curvelet transform</subject><subject>high‐quality images</subject><subject>Image and vision processing and display technology</subject><subject>image quality</subject><subject>image watermarking</subject><subject>inverse curvelet transform</subject><subject>inverse transforms</subject><subject>multidirectional decomposition technique</subject><subject>watermark distortion minimisation</subject><subject>watermark‐embedding energy minimisation method</subject><issn>0013-5194</issn><issn>1350-911X</issn><issn>1350-911X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9jz1PwzAURS0EElXpxg_IwMBAynv-iBM2ilpAisQCEpvlxk5rcJvipFT99zgqAwMw3eW8--4h5BxhjMCLa-vHFFCOoRDiiAyQCUgLxNdjMgBAlgos-CkZta2bA3LkGXAckJuJd2uTVNvwab3tkp3ubFjp8O7Wi2Rlu2VjkroJydItlunHVnvX7RO30gvbnpGTWvvWjr5zSF5m0-e7h7R8un-8uy3TinEmU2nmUBimhTQZzWnMfokEUQheMcqhyLS2cZJhOchaYy4rCrnEaGWzObAhuTr0VqFp22BrtQlxQdgrBNWrK-tVr6569YiLA75z3u7_ZdW0LOlkBgKpjHeXhztnO_XWbMM6Sv314uIXdFr-aN6Ymn0BbE1yzQ</recordid><startdate>20170914</startdate><enddate>20170914</enddate><creator>Kim, W.-H</creator><creator>Nam, S.-H</creator><creator>Lee, H.-K</creator><general>The Institution of Engineering and Technology</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20170914</creationdate><title>Blind curvelet watermarking method for high-quality images</title><author>Kim, W.-H ; Nam, S.-H ; Lee, H.-K</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3437-7db09d3a57d6282a575194705954c324096aae014d3807fa187c20871104e6b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>BER</topic><topic>blind curvelet watermarking method</topic><topic>correlation value</topic><topic>curvelet domain</topic><topic>curvelet filter</topic><topic>curvelet transformation</topic><topic>curvelet transforms</topic><topic>distortion</topic><topic>filtering theory</topic><topic>forward curvelet transform</topic><topic>high‐quality images</topic><topic>Image and vision processing and display technology</topic><topic>image quality</topic><topic>image watermarking</topic><topic>inverse curvelet transform</topic><topic>inverse transforms</topic><topic>multidirectional decomposition technique</topic><topic>watermark distortion minimisation</topic><topic>watermark‐embedding energy minimisation method</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, W.-H</creatorcontrib><creatorcontrib>Nam, S.-H</creatorcontrib><creatorcontrib>Lee, H.-K</creatorcontrib><collection>CrossRef</collection><jtitle>Electronics letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kim, W.-H</au><au>Nam, S.-H</au><au>Lee, H.-K</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Blind curvelet watermarking method for high-quality images</atitle><jtitle>Electronics letters</jtitle><date>2017-09-14</date><risdate>2017</risdate><volume>53</volume><issue>19</issue><spage>1302</spage><epage>1304</epage><pages>1302-1304</pages><issn>0013-5194</issn><issn>1350-911X</issn><eissn>1350-911X</eissn><abstract>The proposed method is a watermarking method for high-quality images that achieves high invisibility and good robustness using a curvelet domain. Recently, there has been a demand for a watermarking technique that does not impair image quality, as interest in high-quality images has increased. To meet this demand, the authors adopted a method of minimising the watermark-embedding energy by using the multi-directional decomposition technique, curvelet transformation. However, if a watermark is inserted into the curvelet domain with the watermarking technique of the conventional domains, it is distorted during the forward and inverse curvelet transform. To solve this problem, they designed a watermarking method by considering the characteristics of the curvelet filter. By minimising the watermark distortion caused by the curvelet transform, high robustness is achieved with small watermarking energy. The proposed method shows very good invisibility and is difficult to distinguish the original. In terms of robustness, the correlation value increased by >80% and BER decreased by >20% compared with previous methods.</abstract><pub>The Institution of Engineering and Technology</pub><doi>10.1049/el.2017.0955</doi><tpages>3</tpages></addata></record> |
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ispartof | Electronics letters, 2017-09, Vol.53 (19), p.1302-1304 |
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source | Wiley Online Library Open Access |
subjects | BER blind curvelet watermarking method correlation value curvelet domain curvelet filter curvelet transformation curvelet transforms distortion filtering theory forward curvelet transform high‐quality images Image and vision processing and display technology image quality image watermarking inverse curvelet transform inverse transforms multidirectional decomposition technique watermark distortion minimisation watermark‐embedding energy minimisation method |
title | Blind curvelet watermarking method for high-quality images |
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