Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 정정화 | - |
dc.date.accessioned | 2018-02-28T07:53:46Z | - |
dc.date.available | 2018-02-28T07:53:46Z | - |
dc.date.issued | 2012-09 | - |
dc.identifier.citation | Optical Engineering, Sep 2012, 51(9), 093201 | en_US |
dc.identifier.issn | 0091-3286 | - |
dc.identifier.issn | 1560-2303 | - |
dc.identifier.uri | https://www.spiedigitallibrary.org/journals/Optical-Engineering/volume-51/issue-9/093201/Real-time-look-up-table-based-color-correction-for-still/10.1117/1.OE.51.9.093201.short | - |
dc.description.abstract | Digital cameras usually decrease exposure time to capture motion-blur-free images. However, this operation will generate an under-exposed image with a low-budget complementary metal-oxide semiconductor image sensor (CIS). Conventional color correction algorithms can efficiently correct under-exposed images; however, they are generally not performed in real time and need at least one frame memory if they are implemented by hardware. The authors propose a real-time look-up table-based color correction method that corrects under-exposed images with hardware without using frame memory. The method utilizes histogram matching of two preview images, which are exposed for a long and short time, respectively, to construct an improved look-up table (ILUT) and then corrects the captured under-exposed image in real time. Because the ILUT is calculated in real time before processing the captured image, this method does not require frame memory to buffer image data, and therefore can greatly save the cost of CIS. This method not only supports single image capture, but also bracketing to capture three images at a time. The proposed method was implemented by hardware description language and verified by a field-programmable gate array with a 5 M CIS. Simulations show that the system can perform in real time with a low cost and can correct the color of under-exposed images well. (C) 2012 Society of Photo-Optical Instrumentation Engineers (SPIE). [DOI: 10.1117/1.OE.51.9.093201] | en_US |
dc.description.sponsorship | This work was sponsored by ETRI SW-SoC R&BD Center, Human Resource Development Project. This work was also supported by Ministry of Knowledge Economy (MKE) and ETRI chip design joint research project, and was supported by the MKE, Korea, under the Information Technology Research Center support program supervised by the National IT Industry Promotion Agency (NIPA-2012-H0301-12-1011). The IDEC provided research facilities for this study. This work was also supported by the Brain Korea 21 Project in 2012, and was supported by the IT R&D program of MKE/KEIT. (10035570, Development of self-powered smart sensor node platform for smart&green building). | en_US |
dc.language.iso | en | en_US |
dc.publisher | SPIE-SOC Photo-Optical Instrumentation Engineers | en_US |
dc.subject | digital camera | en_US |
dc.subject | color correction | en_US |
dc.subject | histogram matching | en_US |
dc.subject | look-up table | en_US |
dc.subject | frame memory | en_US |
dc.title | Real-time look-up table-based color correction for still image stabilization of digital cameras without using frame memory | en_US |
dc.type | Article | en_US |
dc.relation.no | 9 | - |
dc.relation.volume | 51 | - |
dc.identifier.doi | 10.1117/1.OE.51.9.093201 | - |
dc.relation.page | 1-2 | - |
dc.relation.journal | OPTICAL ENGINEERING | - |
dc.contributor.googleauthor | Luo, Lin-Bo | - |
dc.contributor.googleauthor | An, Sang-Woo | - |
dc.contributor.googleauthor | Wang, Chang-Shuai | - |
dc.contributor.googleauthor | Li, Ying-Chun | - |
dc.contributor.googleauthor | Chong, Jong-Wha | - |
dc.relation.code | 2012207295 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | DEPARTMENT OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | jchong | - |
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