A saliency based noise reduction method for Digital TV
In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the...
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creator | Dongni Zhang Jong-Woo Han Oh-Jung Kwon Hyeong-Min Nam Sung-Jea Ko |
description | In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. Experimental results show that the proposed method exhibits the better NR performance as compared with conventional methods. |
doi_str_mv | 10.1109/ICCE.2011.5722840 |
format | Conference Proceeding |
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In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. 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Experimental results show that the proposed method exhibits the better NR performance as compared with conventional methods.</description><subject>Digital TV</subject><subject>Filtering</subject><subject>Image edge detection</subject><subject>Noise</subject><subject>Noise measurement</subject><subject>Noise reduction</subject><subject>Pixel</subject><issn>2158-3994</issn><issn>2158-4001</issn><isbn>9781424487110</isbn><isbn>1424487110</isbn><isbn>1424487102</isbn><isbn>1424487129</isbn><isbn>9781424487103</isbn><isbn>1424487099</isbn><isbn>9781424487097</isbn><isbn>9781424487127</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kMtOwzAURM2jEm3pByA2_oEUXz9ie1mFApUqsanYVjfxNRi1CYrDon9PpYbVSHN0ZjGMPYBYAgj_tKmq9VIKgKWxUjotrtgMtNTaWRDymk0lGFdoIeCGLbx1_wzE7ciU93rCpk4XpVag7R2b5fx9Frw3fsrKFc94SNQ2J15jpsDbLmXiPYXfZkhdy480fHWBx67nz-kzDXjgu497Nol4yLQYc852L-td9VZs31831WpbJC-GwtelCo0OFLAxplG2IaswIhICSRnrskTj6nONoCKBLqNxLlIEFQjQqjl7vMwmItr_9OmI_Wk_XqH-AK_vTHE</recordid><startdate>201101</startdate><enddate>201101</enddate><creator>Dongni Zhang</creator><creator>Jong-Woo Han</creator><creator>Oh-Jung Kwon</creator><creator>Hyeong-Min Nam</creator><creator>Sung-Jea Ko</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201101</creationdate><title>A saliency based noise reduction method for Digital TV</title><author>Dongni Zhang ; Jong-Woo Han ; Oh-Jung Kwon ; Hyeong-Min Nam ; Sung-Jea Ko</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-9b63dc4dedac55c37ce73afaaea1e22fb66a58b7cea13fe146f588fef13de1a73</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Digital TV</topic><topic>Filtering</topic><topic>Image edge detection</topic><topic>Noise</topic><topic>Noise measurement</topic><topic>Noise reduction</topic><topic>Pixel</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dongni Zhang</creatorcontrib><creatorcontrib>Jong-Woo Han</creatorcontrib><creatorcontrib>Oh-Jung Kwon</creatorcontrib><creatorcontrib>Hyeong-Min Nam</creatorcontrib><creatorcontrib>Sung-Jea Ko</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Dongni Zhang</au><au>Jong-Woo Han</au><au>Oh-Jung Kwon</au><au>Hyeong-Min Nam</au><au>Sung-Jea Ko</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A saliency based noise reduction method for Digital TV</atitle><btitle>2011 IEEE International Conference on Consumer Electronics (ICCE)</btitle><stitle>ICCE</stitle><date>2011-01</date><risdate>2011</risdate><spage>743</spage><epage>744</epage><pages>743-744</pages><issn>2158-3994</issn><eissn>2158-4001</eissn><isbn>9781424487110</isbn><isbn>1424487110</isbn><eisbn>1424487102</eisbn><eisbn>1424487129</eisbn><eisbn>9781424487103</eisbn><eisbn>1424487099</eisbn><eisbn>9781424487097</eisbn><eisbn>9781424487127</eisbn><abstract>In this paper, we propose a content-aware noise reduction (NR) method for the Digital TV, which preserves image textures and edges. In the proposed method, noise is first reduced by a temporal recursive NR filter and then further suppressed by a spatial NR filter. To preserve the image texture, the saliency map which accurately represents edges in a noisy image is employed in the spatial filter. Experimental results show that the proposed method exhibits the better NR performance as compared with conventional methods.</abstract><pub>IEEE</pub><doi>10.1109/ICCE.2011.5722840</doi><tpages>2</tpages></addata></record> |
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subjects | Digital TV Filtering Image edge detection Noise Noise measurement Noise reduction Pixel |
title | A saliency based noise reduction method for Digital TV |
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