Self-adaptive fusion method for scientific CMOS image sensors with variable gain ratios and background values
Image diagnosis is an important technique in transient process research of high-energy physics. High dynamic range scenes require high linear dynamic range imaging systems. Scientific CMOS (sCMOS) image sensors have widely been used in high-energy physics, nuclear medical imaging, and astronomical o...
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| Veröffentlicht in: | Review of scientific instruments 2023-05, Vol.94 (5) |
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| creator | Zhou, Errui Li, Binkang Yang, Shaohua Yan, Ming Li, Gang Guo, Mingan Liu, Lu Wang, Jing Shi, Mingyue |
| description | Image diagnosis is an important technique in transient process research of high-energy physics. High dynamic range scenes require high linear dynamic range imaging systems. Scientific CMOS (sCMOS) image sensors have widely been used in high-energy physics, nuclear medical imaging, and astronomical observation because of their advantages in the high linear dynamic range. In this paper, we study the gain ratio variation and background value variation of commercial sCMOS image sensors. A self-adaptive fusion method is proposed to realize the fusion of high linear dynamic range images. The proposed method only uses the high gain image and the low gain image of the sCMOS image sensor to evaluate the gain ratio and the background compensation. The measured results show that the error rates of the evaluated gain ratio and background compensation are less than 2% and 6%. Test results show that the self-adaptive fusion method realizes well the fusion effects, which efficiently avoids the influence of gain ratio variation and background value variation. |
| doi_str_mv | 10.1063/5.0144835 |
| format | Article |
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High dynamic range scenes require high linear dynamic range imaging systems. Scientific CMOS (sCMOS) image sensors have widely been used in high-energy physics, nuclear medical imaging, and astronomical observation because of their advantages in the high linear dynamic range. In this paper, we study the gain ratio variation and background value variation of commercial sCMOS image sensors. A self-adaptive fusion method is proposed to realize the fusion of high linear dynamic range images. The proposed method only uses the high gain image and the low gain image of the sCMOS image sensor to evaluate the gain ratio and the background compensation. The measured results show that the error rates of the evaluated gain ratio and background compensation are less than 2% and 6%. Test results show that the self-adaptive fusion method realizes well the fusion effects, which efficiently avoids the influence of gain ratio variation and background value variation.</description><identifier>ISSN: 0034-6748</identifier><identifier>EISSN: 1089-7623</identifier><identifier>DOI: 10.1063/5.0144835</identifier><identifier>PMID: 37184349</identifier><identifier>CODEN: RSINAK</identifier><language>eng</language><publisher>United States: American Institute of Physics</publisher><subject>CMOS ; Compensation ; Dynamic range ; Error analysis ; High energy physics ; High gain ; Medical imaging ; Scientific apparatus & instruments ; Sensors ; Variable gain</subject><ispartof>Review of scientific instruments, 2023-05, Vol.94 (5)</ispartof><rights>Author(s)</rights><rights>2023 Author(s). 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High dynamic range scenes require high linear dynamic range imaging systems. Scientific CMOS (sCMOS) image sensors have widely been used in high-energy physics, nuclear medical imaging, and astronomical observation because of their advantages in the high linear dynamic range. In this paper, we study the gain ratio variation and background value variation of commercial sCMOS image sensors. A self-adaptive fusion method is proposed to realize the fusion of high linear dynamic range images. The proposed method only uses the high gain image and the low gain image of the sCMOS image sensor to evaluate the gain ratio and the background compensation. The measured results show that the error rates of the evaluated gain ratio and background compensation are less than 2% and 6%. Test results show that the self-adaptive fusion method realizes well the fusion effects, which efficiently avoids the influence of gain ratio variation and background value variation.</description><subject>CMOS</subject><subject>Compensation</subject><subject>Dynamic range</subject><subject>Error analysis</subject><subject>High energy physics</subject><subject>High gain</subject><subject>Medical imaging</subject><subject>Scientific apparatus & instruments</subject><subject>Sensors</subject><subject>Variable gain</subject><issn>0034-6748</issn><issn>1089-7623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9kctOwzAQRS0EoqWw4AeQJTaAlOJn4ixRxUsqYgGsI8exi0sSFzsp4u9xaQEJJGYzszi6M3MvAIcYjTFK6TkfI8yYoHwLDDESeZKlhG6DIUKUJWnGxADshTBHsTjGu2BAMywYZfkQNA-6Noms5KKzSw1NH6xrYaO7Z1dB4zwMyuq2s8YqOLm7f4C2kTMNg26D8wG-2e4ZLqW3sqw1nEnbQi876wKUbQVLqV5m3vVxXMq612Ef7BhZB32w6SPwdHX5OLlJpvfXt5OLaaJoJrqEqCo1JH4kUZWWOTO5KbEQeYWR0jnK00wzhaUkqExxyjnJuCwNRpwwIrjK6AicrHUX3r3GvV3R2KB0XctWuz4URGAqYnES0eNf6Nz1vo3XfVIZyRlaCZ6uKeVdCF6bYuGjE_69wKhYZVDwYpNBZI82in3Z6Oqb_DI9AmdrIHrbrdxqv5ml8z9KxaIy_8F_V38AIimcbw</recordid><startdate>20230501</startdate><enddate>20230501</enddate><creator>Zhou, Errui</creator><creator>Li, Binkang</creator><creator>Yang, Shaohua</creator><creator>Yan, Ming</creator><creator>Li, Gang</creator><creator>Guo, Mingan</creator><creator>Liu, Lu</creator><creator>Wang, Jing</creator><creator>Shi, Mingyue</creator><general>American Institute of Physics</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>H8D</scope><scope>L7M</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-5365-6180</orcidid><orcidid>https://orcid.org/0009-0007-6842-3068</orcidid></search><sort><creationdate>20230501</creationdate><title>Self-adaptive fusion method for scientific CMOS image sensors with variable gain ratios and background values</title><author>Zhou, Errui ; Li, Binkang ; Yang, Shaohua ; Yan, Ming ; Li, Gang ; Guo, Mingan ; Liu, Lu ; Wang, Jing ; Shi, Mingyue</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-2cd6f2448a0d6b94f9fb1889d10ce90967e4c1aa20b61655275abf10524285c73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>CMOS</topic><topic>Compensation</topic><topic>Dynamic range</topic><topic>Error analysis</topic><topic>High energy physics</topic><topic>High gain</topic><topic>Medical imaging</topic><topic>Scientific apparatus & instruments</topic><topic>Sensors</topic><topic>Variable gain</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhou, Errui</creatorcontrib><creatorcontrib>Li, Binkang</creatorcontrib><creatorcontrib>Yang, Shaohua</creatorcontrib><creatorcontrib>Yan, Ming</creatorcontrib><creatorcontrib>Li, Gang</creatorcontrib><creatorcontrib>Guo, Mingan</creatorcontrib><creatorcontrib>Liu, Lu</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Shi, Mingyue</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>MEDLINE - Academic</collection><jtitle>Review of scientific instruments</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhou, Errui</au><au>Li, Binkang</au><au>Yang, Shaohua</au><au>Yan, Ming</au><au>Li, Gang</au><au>Guo, Mingan</au><au>Liu, Lu</au><au>Wang, Jing</au><au>Shi, Mingyue</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Self-adaptive fusion method for scientific CMOS image sensors with variable gain ratios and background values</atitle><jtitle>Review of scientific instruments</jtitle><addtitle>Rev Sci Instrum</addtitle><date>2023-05-01</date><risdate>2023</risdate><volume>94</volume><issue>5</issue><issn>0034-6748</issn><eissn>1089-7623</eissn><coden>RSINAK</coden><abstract>Image diagnosis is an important technique in transient process research of high-energy physics. 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| language | eng |
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| source | AIP Journals Complete; Alma/SFX Local Collection |
| subjects | CMOS Compensation Dynamic range Error analysis High energy physics High gain Medical imaging Scientific apparatus & instruments Sensors Variable gain |
| title | Self-adaptive fusion method for scientific CMOS image sensors with variable gain ratios and background values |
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