Reduction of ghost effect in exposure fusion by detecting the ghost pixels in saturated and non-saturated regions
This paper proposes a multiple exposure image fusion algorithm with reduced ghost. The basic idea is to adjust the weight map in the conventional fusion method in such a way that the ghost pixels are excluded. For this, pixels that cause ghost effect are detected in both of the saturated and non-sat...
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creator | Jaehyun An Seong Jong Ha Nam Ik Cho |
description | This paper proposes a multiple exposure image fusion algorithm with reduced ghost. The basic idea is to adjust the weight map in the conventional fusion method in such a way that the ghost pixels are excluded. For this, pixels that cause ghost effect are detected in both of the saturated and non-saturated regions. In order to detect ghost pixels in the non-saturated region, we use the photometric relation and Gaussian mixture modeling (GMM) of a zero mean normalized cross correlation (ZNCC) map between a given exposure image and the reference. From this, we can also obtain static region where we construct an intensity mapping function (IMF) to detect the ghost pixels in saturated regions. Experimental results show that the proposed method generates high quality image without noticeable ghost effect, and yields less artifacts than the conventional methods. |
doi_str_mv | 10.1109/ICASSP.2012.6288079 |
format | Conference Proceeding |
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The basic idea is to adjust the weight map in the conventional fusion method in such a way that the ghost pixels are excluded. For this, pixels that cause ghost effect are detected in both of the saturated and non-saturated regions. In order to detect ghost pixels in the non-saturated region, we use the photometric relation and Gaussian mixture modeling (GMM) of a zero mean normalized cross correlation (ZNCC) map between a given exposure image and the reference. From this, we can also obtain static region where we construct an intensity mapping function (IMF) to detect the ghost pixels in saturated regions. 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The basic idea is to adjust the weight map in the conventional fusion method in such a way that the ghost pixels are excluded. For this, pixels that cause ghost effect are detected in both of the saturated and non-saturated regions. In order to detect ghost pixels in the non-saturated region, we use the photometric relation and Gaussian mixture modeling (GMM) of a zero mean normalized cross correlation (ZNCC) map between a given exposure image and the reference. From this, we can also obtain static region where we construct an intensity mapping function (IMF) to detect the ghost pixels in saturated regions. Experimental results show that the proposed method generates high quality image without noticeable ghost effect, and yields less artifacts than the conventional methods.</description><subject>Cameras</subject><subject>Dynamic range</subject><subject>Exposure fusion</subject><subject>Feature extraction</subject><subject>Gaussian distribution</subject><subject>Ghost effect</subject><subject>Image fusion</subject><subject>Image sensors</subject><issn>1520-6149</issn><issn>2379-190X</issn><isbn>1467300454</isbn><isbn>9781467300452</isbn><isbn>9781467300469</isbn><isbn>1467300446</isbn><isbn>9781467300445</isbn><isbn>1467300462</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkN1KAzEQheMfWGufoDd5gV0n2SSbXErxDwqKVfCuZJNJu1J36yYL7du7xYpzc2DOfAfOEDJlkDMG5uZpdrtYvOQcGM8V1xpKc0ImptRMqLIAEMqckhEvSpMxAx9n5OrPkOKcjJjkkCkmzCWZxPgJwwwoFGpEvl_R9y7VbUPbQFfrNiaKIaBLtG4o7rZt7DukoY-Hk2pPPabBrJsVTWs8Att6h5t4AKJNfWcTemobT5u2yf43Ha6GjHhNLoLdRJwcdUze7-_eZo_Z_Plh6DnPalbKlDnwTjMNyANHJ12lnS-0VVAZsEx5MFJxLoKWQXBnwKtKBmO1FqqwlZDFmEx_c2tEXG67-st2--Xxe8UPqmdhjg</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Jaehyun An</creator><creator>Seong Jong Ha</creator><creator>Nam Ik Cho</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>201203</creationdate><title>Reduction of ghost effect in exposure fusion by detecting the ghost pixels in saturated and non-saturated regions</title><author>Jaehyun An ; Seong Jong Ha ; Nam Ik Cho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-c0dc8180e2f2ec5cb8cd38a60b90a16d0956224f85f42c90d6b5f9a88463ab453</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Cameras</topic><topic>Dynamic range</topic><topic>Exposure fusion</topic><topic>Feature extraction</topic><topic>Gaussian distribution</topic><topic>Ghost effect</topic><topic>Image fusion</topic><topic>Image sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Jaehyun An</creatorcontrib><creatorcontrib>Seong Jong Ha</creatorcontrib><creatorcontrib>Nam Ik Cho</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>Jaehyun An</au><au>Seong Jong Ha</au><au>Nam Ik Cho</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Reduction of ghost effect in exposure fusion by detecting the ghost pixels in saturated and non-saturated regions</atitle><btitle>2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</btitle><stitle>ICASSP</stitle><date>2012-03</date><risdate>2012</risdate><spage>1101</spage><epage>1104</epage><pages>1101-1104</pages><issn>1520-6149</issn><eissn>2379-190X</eissn><isbn>1467300454</isbn><isbn>9781467300452</isbn><eisbn>9781467300469</eisbn><eisbn>1467300446</eisbn><eisbn>9781467300445</eisbn><eisbn>1467300462</eisbn><abstract>This paper proposes a multiple exposure image fusion algorithm with reduced ghost. The basic idea is to adjust the weight map in the conventional fusion method in such a way that the ghost pixels are excluded. For this, pixels that cause ghost effect are detected in both of the saturated and non-saturated regions. In order to detect ghost pixels in the non-saturated region, we use the photometric relation and Gaussian mixture modeling (GMM) of a zero mean normalized cross correlation (ZNCC) map between a given exposure image and the reference. From this, we can also obtain static region where we construct an intensity mapping function (IMF) to detect the ghost pixels in saturated regions. Experimental results show that the proposed method generates high quality image without noticeable ghost effect, and yields less artifacts than the conventional methods.</abstract><pub>IEEE</pub><doi>10.1109/ICASSP.2012.6288079</doi><tpages>4</tpages></addata></record> |
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language | eng |
recordid | cdi_ieee_primary_6288079 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Cameras Dynamic range Exposure fusion Feature extraction Gaussian distribution Ghost effect Image fusion Image sensors |
title | Reduction of ghost effect in exposure fusion by detecting the ghost pixels in saturated and non-saturated regions |
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