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A New Intrinsic-Lighting Color Space for Daytime Outdoor Images
Han Z(韩志); Tian JD(田建东); Qu LQ(屈靓琼); Tang YD(唐延东)
Department机器人学研究室
Source PublicationIEEE Transactions on Image Processing
ISSN1057-7149
2017
Volume26Issue:2Pages:1031-1039
Indexed BySCI ; EI
EI Accession number20171103439513
WOS IDWOS:000404773100033
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China under Grant 61303168, Grant 61473280, and Grant 61333019.
KeywordColor Space Illumination Intrinsic Value Shadow
AbstractExtracting or separating intrinsic information and illumination from natural images is crucial for better solving computer vision tasks. In this paper, we present a new illumination-based color space, the IL (intrinsic information and lighting level) space. Its first two channels represent 2D intrinsic information, and the third channel is for lighting levels. The IL color space has a one-to-one correspondence with the RGB color space. One valuable benefit of the IL color space is that illumination-related processing can be realized by directly operating on the lighting channel. As an example, based on the extracted lighting channel, we propose a new algorithm to estimate the intrinsic lighting level of an image such that the shadow-free color image and relighting series are obtained. In contrast to the existing color spaces for display or printing, the IL color space intuitively shows the information of reflectance and lighting levels for colors separately.
Language英语
WOS HeadingsScience & Technology ; Technology
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS KeywordSHADOW DETECTION ; CONSTANCY ; REMOVAL ; RETINEX ; SURFACE
WOS Research AreaComputer Science ; Engineering
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Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20242
Collection机器人学研究室
Corresponding AuthorTang YD(唐延东)
Affiliation1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
3.Department of Computer Science, City University of Hong Kong, Hong Kong
Recommended Citation
GB/T 7714
Han Z,Tian JD,Qu LQ,et al. A New Intrinsic-Lighting Color Space for Daytime Outdoor Images[J]. IEEE Transactions on Image Processing,2017,26(2):1031-1039.
APA Han Z,Tian JD,Qu LQ,&Tang YD.(2017).A New Intrinsic-Lighting Color Space for Daytime Outdoor Images.IEEE Transactions on Image Processing,26(2),1031-1039.
MLA Han Z,et al."A New Intrinsic-Lighting Color Space for Daytime Outdoor Images".IEEE Transactions on Image Processing 26.2(2017):1031-1039.
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