Ultrasonic speckle suppression based on a novel multiscale thresholding technique
In this paper, a novel multiscale speckle suppression method is proposed for ultrasonic images. An original image is transformed into a multiscale curvelet domain and the thresholding estimators are derived for processing the curvelet coefficients of detail subbands by successively combining the SUR...
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| creator | Chen Binjin Xiao Yang Yu Jianguo Xue Haihong |
| description | In this paper, a novel multiscale speckle suppression method is proposed for ultrasonic images. An original image is transformed into a multiscale curvelet domain and the thresholding estimators are derived for processing the curvelet coefficients of detail subbands by successively combining the SURE-LET approach with the neighboring windows. In order to reduce the curvelet-like artifacts, the shrinkage results are further processed by a nonlinear diffusion scheme. We test the performance of this new technique using synthetic speckle images and real ultrasound images. The experimental results demonstrated, in comparison to other competitive existing methods, this technique could effectively eliminate the speckle noise, while preserving the detailed structures. |
| doi_str_mv | 10.1109/ISVC.2010.5655822 |
| format | Conference Proceeding |
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The experimental results demonstrated, in comparison to other competitive existing methods, this technique could effectively eliminate the speckle noise, while preserving the detailed structures.</description><subject>Anisotropic magnetoresistance</subject><subject>curvelet transform</subject><subject>Image edge detection</subject><subject>neighboring dependency</subject><subject>Noise</subject><subject>Pixel</subject><subject>Speckle</subject><subject>speckle noise</subject><subject>stein's unbiased risk (SURE)</subject><subject>Transforms</subject><subject>Ultrasonic imaging</subject><isbn>9781424459964</isbn><isbn>1424459966</isbn><isbn>9781424459971</isbn><isbn>9781424459988</isbn><isbn>1424459982</isbn><isbn>1424459974</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM9KxDAYxCMiKGsfQLzkBbomX5ImPUrxz8KCiKvXJU2-2mi3rU0r-PYG3ItzmfnBMIch5IqzNeesvNm8vFVrYAlVoZQBOCFZqQ2XIKUqS81P_3Ehz0kW4wdLUqAFYxfk-bWbJxuHPjgaR3SfHdK4jOOEMYahp7WN6GkKlvbDN3b0sHRziM6m3tymVjt0PvTvdEbX9uFrwUty1tguYnb0Fdnd3-2qx3z79LCpbrd5KNmcCyU9R8G9A9FIKUxjLOjGoMDaQVMXYLQGxUuPKbKC-8IDcoaMcSgaJ1bk-m82IOJ-nMLBTj_74w_iF--2UdQ</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Chen Binjin</creator><creator>Xiao Yang</creator><creator>Yu Jianguo</creator><creator>Xue Haihong</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201009</creationdate><title>Ultrasonic speckle suppression based on a novel multiscale thresholding technique</title><author>Chen Binjin ; Xiao Yang ; Yu Jianguo ; Xue Haihong</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-354d1e31dc23f4438f8a27f8e3ebc2fb628772519de628061d6d2e10e00126fc3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Anisotropic magnetoresistance</topic><topic>curvelet transform</topic><topic>Image edge detection</topic><topic>neighboring dependency</topic><topic>Noise</topic><topic>Pixel</topic><topic>Speckle</topic><topic>speckle noise</topic><topic>stein's unbiased risk (SURE)</topic><topic>Transforms</topic><topic>Ultrasonic imaging</topic><toplevel>online_resources</toplevel><creatorcontrib>Chen Binjin</creatorcontrib><creatorcontrib>Xiao Yang</creatorcontrib><creatorcontrib>Yu Jianguo</creatorcontrib><creatorcontrib>Xue Haihong</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>Chen Binjin</au><au>Xiao Yang</au><au>Yu Jianguo</au><au>Xue Haihong</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Ultrasonic speckle suppression based on a novel multiscale thresholding technique</atitle><btitle>2010 5th International Symposium On I/V Communications and Mobile Network</btitle><stitle>ISVC</stitle><date>2010-09</date><risdate>2010</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><isbn>9781424459964</isbn><isbn>1424459966</isbn><eisbn>9781424459971</eisbn><eisbn>9781424459988</eisbn><eisbn>1424459982</eisbn><eisbn>1424459974</eisbn><abstract>In this paper, a novel multiscale speckle suppression method is proposed for ultrasonic images. An original image is transformed into a multiscale curvelet domain and the thresholding estimators are derived for processing the curvelet coefficients of detail subbands by successively combining the SURE-LET approach with the neighboring windows. In order to reduce the curvelet-like artifacts, the shrinkage results are further processed by a nonlinear diffusion scheme. We test the performance of this new technique using synthetic speckle images and real ultrasound images. The experimental results demonstrated, in comparison to other competitive existing methods, this technique could effectively eliminate the speckle noise, while preserving the detailed structures.</abstract><pub>IEEE</pub><doi>10.1109/ISVC.2010.5655822</doi><tpages>5</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Anisotropic magnetoresistance curvelet transform Image edge detection neighboring dependency Noise Pixel Speckle speckle noise stein's unbiased risk (SURE) Transforms Ultrasonic imaging |
| title | Ultrasonic speckle suppression based on a novel multiscale thresholding technique |
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