Multi-camera platform for panoramic real-time HDR video construction and rendering
High dynamic range (HDR) images are usually obtained by capturing several images of the scene at different exposures. Previous HDR video techniques adopted the same principle by stacking HDR frames in time domain. We designed a new multi-camera platform which is able to construct and render HDR pano...
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| Veröffentlicht in: | Journal of real-time image processing 2016-12, Vol.12 (4), p.697-708 |
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| container_end_page | 708 |
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| container_issue | 4 |
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| container_title | Journal of real-time image processing |
| container_volume | 12 |
| creator | Popovic, Vladan Seyid, Kerem Pignat, Eliéva Çogal, Ömer Leblebici, Yusuf |
| description | High dynamic range (HDR) images are usually obtained by capturing several images of the scene at different exposures. Previous HDR video techniques adopted the same principle by stacking HDR frames in time domain. We designed a new multi-camera platform which is able to construct and render HDR panoramic video in real time, with
1
,
024
×
256
resolution and a frame rate of 25 fps. We exploit the overlapping fields of view between the cameras with different exposures to create an HDR radiance map. We propose a method for HDR frame reconstruction which merges the previous HDR imaging techniques with the algorithms for panorama reconstruction. The developed FPGA-based processing system is able to reconstruct the HDR frame using the proposed method and tone map the resulting image using a hardware-adapted global operator. The measured throughput of the system is 245 MB/s, which is, up to our knowledge, among the fastest HDR video processing system. |
| doi_str_mv | 10.1007/s11554-014-0444-8 |
| format | Article |
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1
,
024
×
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resolution and a frame rate of 25 fps. We exploit the overlapping fields of view between the cameras with different exposures to create an HDR radiance map. We propose a method for HDR frame reconstruction which merges the previous HDR imaging techniques with the algorithms for panorama reconstruction. The developed FPGA-based processing system is able to reconstruct the HDR frame using the proposed method and tone map the resulting image using a hardware-adapted global operator. The measured throughput of the system is 245 MB/s, which is, up to our knowledge, among the fastest HDR video processing system.</description><identifier>ISSN: 1861-8200</identifier><identifier>EISSN: 1861-8219</identifier><identifier>DOI: 10.1007/s11554-014-0444-8</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Algorithms ; Cameras ; Computer Graphics ; Computer Science ; Construction ; Field programmable gate arrays ; Image processing ; Image Processing and Computer Vision ; Image reconstruction ; Imaging techniques ; Multimedia Information Systems ; Pattern Recognition ; Real time ; Sensors ; Signal,Image and Speech Processing ; Special Issue Paper ; Video</subject><ispartof>Journal of real-time image processing, 2016-12, Vol.12 (4), p.697-708</ispartof><rights>Springer-Verlag Berlin Heidelberg 2014</rights><rights>Springer-Verlag Berlin Heidelberg 2014.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-99a001bf522242b055c72fab18b9ef2bf790afdc0a83a482fe27ac93a80986c83</citedby><cites>FETCH-LOGICAL-c425t-99a001bf522242b055c72fab18b9ef2bf790afdc0a83a482fe27ac93a80986c83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11554-014-0444-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918674240?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,780,784,21388,27924,27925,33744,41488,42557,43805,51319,64385,64389,72469</link.rule.ids></links><search><creatorcontrib>Popovic, Vladan</creatorcontrib><creatorcontrib>Seyid, Kerem</creatorcontrib><creatorcontrib>Pignat, Eliéva</creatorcontrib><creatorcontrib>Çogal, Ömer</creatorcontrib><creatorcontrib>Leblebici, Yusuf</creatorcontrib><title>Multi-camera platform for panoramic real-time HDR video construction and rendering</title><title>Journal of real-time image processing</title><addtitle>J Real-Time Image Proc</addtitle><description>High dynamic range (HDR) images are usually obtained by capturing several images of the scene at different exposures. Previous HDR video techniques adopted the same principle by stacking HDR frames in time domain. We designed a new multi-camera platform which is able to construct and render HDR panoramic video in real time, with
1
,
024
×
256
resolution and a frame rate of 25 fps. We exploit the overlapping fields of view between the cameras with different exposures to create an HDR radiance map. We propose a method for HDR frame reconstruction which merges the previous HDR imaging techniques with the algorithms for panorama reconstruction. The developed FPGA-based processing system is able to reconstruct the HDR frame using the proposed method and tone map the resulting image using a hardware-adapted global operator. The measured throughput of the system is 245 MB/s, which is, up to our knowledge, among the fastest HDR video processing system.</description><subject>Algorithms</subject><subject>Cameras</subject><subject>Computer Graphics</subject><subject>Computer Science</subject><subject>Construction</subject><subject>Field programmable gate arrays</subject><subject>Image processing</subject><subject>Image Processing and Computer Vision</subject><subject>Image reconstruction</subject><subject>Imaging techniques</subject><subject>Multimedia Information Systems</subject><subject>Pattern Recognition</subject><subject>Real time</subject><subject>Sensors</subject><subject>Signal,Image and Speech Processing</subject><subject>Special Issue Paper</subject><subject>Video</subject><issn>1861-8200</issn><issn>1861-8219</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kEtLxDAUhYMoOI7-AHcB19GbNG3TpYyPEUaEQdfhNk2kQ9vUpBX897ZUdOXiPhbnnsv5CLnkcM0B8pvIeZpKBnwqKSVTR2TFVcaZErw4_t0BTslZjAeALM-SdEX2z2Mz1MxgawPSvsHB-dDSqdEeOx-wrQ0NFhs21K2l27s9_awr66nxXRzCaIbadxS7ahJ1lQ11935OThw20V78zDV5e7h_3WzZ7uXxaXO7Y0aKdGBFgQC8dKkQQooS0tTkwmHJVVlYJ0qXF4CuMoAqQamEsyJHUySooFCZUcmaXC2-ffAfo42DPvgxdNNLLYopby6FhEnFF5UJPsZgne5D3WL40hz0jE4v6PSETs_o9OwslpvYz4Fs-HP-_-gbBnlxOg</recordid><startdate>20161201</startdate><enddate>20161201</enddate><creator>Popovic, Vladan</creator><creator>Seyid, Kerem</creator><creator>Pignat, Eliéva</creator><creator>Çogal, Ömer</creator><creator>Leblebici, Yusuf</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>P5Z</scope><scope>P62</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20161201</creationdate><title>Multi-camera platform for panoramic real-time HDR video construction and rendering</title><author>Popovic, Vladan ; 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1
,
024
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256
resolution and a frame rate of 25 fps. We exploit the overlapping fields of view between the cameras with different exposures to create an HDR radiance map. We propose a method for HDR frame reconstruction which merges the previous HDR imaging techniques with the algorithms for panorama reconstruction. The developed FPGA-based processing system is able to reconstruct the HDR frame using the proposed method and tone map the resulting image using a hardware-adapted global operator. The measured throughput of the system is 245 MB/s, which is, up to our knowledge, among the fastest HDR video processing system.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s11554-014-0444-8</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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| ispartof | Journal of real-time image processing, 2016-12, Vol.12 (4), p.697-708 |
| issn | 1861-8200 1861-8219 |
| language | eng |
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| subjects | Algorithms Cameras Computer Graphics Computer Science Construction Field programmable gate arrays Image processing Image Processing and Computer Vision Image reconstruction Imaging techniques Multimedia Information Systems Pattern Recognition Real time Sensors Signal,Image and Speech Processing Special Issue Paper Video |
| title | Multi-camera platform for panoramic real-time HDR video construction and rendering |
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