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Recovering sensor spectral sensitivity from raw data
Wu DL(吴登禄); Tian JD(田建东); Li BF(李冰锋); Wang YN(王耀南); Tang YD(唐延东)
Department机器人学研究室
Source PublicationJOURNAL OF ELECTRONIC IMAGING
ISSN1017-9909
2013
Volume22Issue:2Pages:1-8
Indexed BySCI ; EI
EI Accession number20140517240343
WOS IDWOS:000322376100046
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China [61102116, 61203270]
AbstractAccurate sensor spectral sensitivity (SSS) plays an important role in color reproduction, imaging, and computer vision. However, such data are not always available from manufacturers. We focus on recovering SSS from raw data, and propose a method to recover SSS. Using raw data, instead of sRGB data, to recover the SSS is due to the fact that the raw data are more closely related with actual sensor response values than sRGB data. With the raw data, the SSS can be recovered more accurately than with sRGB data that is widely used to recover SSS by almost all state-of-art recovery methods. Besides applying raw data in the recovery process, the other contribution is that we propose a new and simple cost function for the SSS recovery problem. This problem is then transformed into an optimization issue by minimizing the cost function. This minimization can be solved by a multiobject optimization method with a genetic algorithm. In contrast to the previous methods, our method is simple and has no parameter that needs to be determined by some prior knowledge. We validate our method through the experiments and comparison with the state-of-art methods under different illuminants. (c) 2013 SPIE and IS
Language英语
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
WOS SubjectEngineering, Electrical & Electronic ; Optics ; Imaging Science & Photographic Technology
WOS KeywordCOLOR ; IMAGE
WOS Research AreaEngineering ; Optics ; Imaging Science & Photographic Technology
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/12563
Collection机器人学研究室
Corresponding AuthorTian JD(田建东)
Affiliation1.Chinese Academy of Sciences, Shenyang Institute of Automation, State Key Laboratory of Robotics, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100039, China
3.Hunan University, College of Electrical and Information, Changsha 410082, China
Recommended Citation
GB/T 7714
Wu DL,Tian JD,Li BF,et al. Recovering sensor spectral sensitivity from raw data[J]. JOURNAL OF ELECTRONIC IMAGING,2013,22(2):1-8.
APA Wu DL,Tian JD,Li BF,Wang YN,&Tang YD.(2013).Recovering sensor spectral sensitivity from raw data.JOURNAL OF ELECTRONIC IMAGING,22(2),1-8.
MLA Wu DL,et al."Recovering sensor spectral sensitivity from raw data".JOURNAL OF ELECTRONIC IMAGING 22.2(2013):1-8.
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