Analysis and Compensation of Rolling Shutter Effect
Due to the sequential-readout structure of complementary metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting in the so-called electronic rolling shutter that induces geometric image distortion when the object or the video camera...
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Veröffentlicht in: | IEEE transactions on image processing 2008-08, Vol.17 (8), p.1323-1330 |
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creator | Chia-Kai Liang Li-Wen Chang Chen, H.H. |
description | Due to the sequential-readout structure of complementary metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting in the so-called electronic rolling shutter that induces geometric image distortion when the object or the video camera moves during image capture. In this paper, we propose an image processing technique using a planar motion model to address the problem. Unlike previous methods that involve complex 3-D feature correspondences, a simple approach to the analysis of inter- and intraframe distortions is presented. The high-resolution velocity estimates used for restoring the image are obtained by global motion estimation, Bezier curve fitting, and local motion estimation without resort to correspondence identification. Experimental results demonstrate the effectiveness of the algorithm. |
doi_str_mv | 10.1109/TIP.2008.925384 |
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In this paper, we propose an image processing technique using a planar motion model to address the problem. Unlike previous methods that involve complex 3-D feature correspondences, a simple approach to the analysis of inter- and intraframe distortions is presented. The high-resolution velocity estimates used for restoring the image are obtained by global motion estimation, Bezier curve fitting, and local motion estimation without resort to correspondence identification. 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(IEEE) 2008</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c445t-2281c454a25a033c9bb20ff93abe316b9ccba356ea04043988143a3c20ff7ded3</citedby><cites>FETCH-LOGICAL-c445t-2281c454a25a033c9bb20ff93abe316b9ccba356ea04043988143a3c20ff7ded3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4549748$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4549748$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20508488$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18632342$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chia-Kai Liang</creatorcontrib><creatorcontrib>Li-Wen Chang</creatorcontrib><creatorcontrib>Chen, H.H.</creatorcontrib><title>Analysis and Compensation of Rolling Shutter Effect</title><title>IEEE transactions on image processing</title><addtitle>TIP</addtitle><addtitle>IEEE Trans Image Process</addtitle><description>Due to the sequential-readout structure of complementary metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting in the so-called electronic rolling shutter that induces geometric image distortion when the object or the video camera moves during image capture. In this paper, we propose an image processing technique using a planar motion model to address the problem. Unlike previous methods that involve complex 3-D feature correspondences, a simple approach to the analysis of inter- and intraframe distortions is presented. The high-resolution velocity estimates used for restoring the image are obtained by global motion estimation, Bezier curve fitting, and local motion estimation without resort to correspondence identification. Experimental results demonstrate the effectiveness of the algorithm.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Cameras</subject><subject>CMOS image sensors</subject><subject>CMOS process</subject><subject>CMOS technology</subject><subject>Complementary metal-oxide semiconductor (CMOS) sensor array</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Distortion</subject><subject>Electronics</subject><subject>Exact sciences and technology</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image processing</subject><subject>Image sensors</subject><subject>Information, signal and communications theory</subject><subject>Layout</subject><subject>Metal oxide semiconductors</subject><subject>Miscellaneous</subject><subject>MOS devices</subject><subject>motion analysis</subject><subject>Motion estimation</subject><subject>Photography - instrumentation</subject><subject>Photography - methods</subject><subject>Reproducibility of Results</subject><subject>rolling shutter</subject><subject>Semiconductors</subject><subject>Sensitivity and Specificity</subject><subject>Sensor arrays</subject><subject>Shutters</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><issn>1057-7149</issn><issn>1941-0042</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNp90M1LwzAYx_EgipsvZw-CFEE9dXuSJ2mT4xhTBwNF57mkaaodfZlNe9h_b8bGBA-eEsgnv8OXkCsKI0pBjZfz1xEDkCPFBEp-RIZUcRoCcHbs7yDiMKZcDciZcysAygWNTsmAyggZcjYkOKl1uXGFC3SdBdOmWtva6a5o6qDJg7emLIv6M3j_6rvOtsEsz63pLshJrktnL_fnOfl4nC2nz-Hi5Wk-nSxCw7noQsYkNVxwzYQGRKPSlEGeK9SpRRqlyphUo4isBg4clZSUo0azRXFmMzwnD7vdddt899Z1SVU4Y8tS17bpXSIlRDyOpPLy_l8ZKaRxLMDD2z9w1fStT-DXIkTBqKIejXfItI1zrc2TdVtUut0kFJJt9sRnT7bZk112_-NmP9unlc1-_b6zB3d7oJ3RZd7q2hTu4BgIkFxK7653rrDWHp59RBVziT9Va5CY</recordid><startdate>20080801</startdate><enddate>20080801</enddate><creator>Chia-Kai Liang</creator><creator>Li-Wen Chang</creator><creator>Chen, H.H.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7X8</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20080801</creationdate><title>Analysis and Compensation of Rolling Shutter Effect</title><author>Chia-Kai Liang ; Li-Wen Chang ; Chen, H.H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c445t-2281c454a25a033c9bb20ff93abe316b9ccba356ea04043988143a3c20ff7ded3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Cameras</topic><topic>CMOS image sensors</topic><topic>CMOS process</topic><topic>CMOS technology</topic><topic>Complementary metal-oxide semiconductor (CMOS) sensor array</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Distortion</topic><topic>Electronics</topic><topic>Exact sciences and technology</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image processing</topic><topic>Image sensors</topic><topic>Information, signal and communications theory</topic><topic>Layout</topic><topic>Metal oxide semiconductors</topic><topic>Miscellaneous</topic><topic>MOS devices</topic><topic>motion analysis</topic><topic>Motion estimation</topic><topic>Photography - instrumentation</topic><topic>Photography - methods</topic><topic>Reproducibility of Results</topic><topic>rolling shutter</topic><topic>Semiconductors</topic><topic>Sensitivity and Specificity</topic><topic>Sensor arrays</topic><topic>Shutters</topic><topic>Signal and communications theory</topic><topic>Signal processing</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chia-Kai Liang</creatorcontrib><creatorcontrib>Li-Wen Chang</creatorcontrib><creatorcontrib>Chen, H.H.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>MEDLINE - Academic</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on image processing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Chia-Kai Liang</au><au>Li-Wen Chang</au><au>Chen, H.H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis and Compensation of Rolling Shutter Effect</atitle><jtitle>IEEE transactions on image processing</jtitle><stitle>TIP</stitle><addtitle>IEEE Trans Image Process</addtitle><date>2008-08-01</date><risdate>2008</risdate><volume>17</volume><issue>8</issue><spage>1323</spage><epage>1330</epage><pages>1323-1330</pages><issn>1057-7149</issn><eissn>1941-0042</eissn><coden>IIPRE4</coden><abstract>Due to the sequential-readout structure of complementary metal-oxide semiconductor image sensor array, each scanline of the acquired image is exposed at a different time, resulting in the so-called electronic rolling shutter that induces geometric image distortion when the object or the video camera moves during image capture. 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subjects | Algorithms Applied sciences Cameras CMOS image sensors CMOS process CMOS technology Complementary metal-oxide semiconductor (CMOS) sensor array Detection, estimation, filtering, equalization, prediction Distortion Electronics Exact sciences and technology Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image sensors Information, signal and communications theory Layout Metal oxide semiconductors Miscellaneous MOS devices motion analysis Motion estimation Photography - instrumentation Photography - methods Reproducibility of Results rolling shutter Semiconductors Sensitivity and Specificity Sensor arrays Shutters Signal and communications theory Signal processing Signal, noise Telecommunications and information theory |
title | Analysis and Compensation of Rolling Shutter Effect |
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