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Guided filter-based fusion method for multiexposure images
Hou XL(侯幸林); Luo HB(罗海波); Qi F(祁峰); Zhou PP(周培培)
Department光电信息技术研究室
Source PublicationOptical Engineering
ISSN0091-3286
2016
Volume55Issue:11Pages:1-12
Indexed BySCI ; EI
EI Accession number20164703034047
WOS IDWOS:000390668700022
Contribution Rank1
KeywordHigh-dynamic Range Imaging Image Fusion Guided Filter Multiexposure
AbstractIt is challenging to capture a high-dynamic range (HDR) scene using a low-dynamic range camera. A weighted sum-based image fusion (IF) algorithm is proposed so as to express an HDR scene with a high-quality image. This method mainly includes three parts. First, two image features, i.e., gradients and well-exposedness are measured to estimate the initial weight maps. Second, the initial weight maps are refined by a guided filter, in which the source image is considered as the guidance image. This process could reduce the noise in initial weight maps and preserve more texture consistent with the original images. Finally, the fused image is constructed by a weighted sum of source images in the spatial domain. The main contributions of this method are the estimation of the initial weight maps and the appropriate use of the guided filter-based weight maps refinement. It provides accurate weight maps for IF. Compared to traditional IF methods, this algorithm avoids image segmentation, combination, and the camera response curve calibration. Furthermore, experimental results demonstrate the superiority of the proposed method in both subjective and objective evaluations.
Language英语
WOS HeadingsScience & Technology ; Physical Sciences
WOS SubjectOptics
WOS Research AreaOptics
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/19414
Collection光电信息技术研究室
Corresponding AuthorLuo HB(罗海波)
Affiliation1.Chinese Academy of Sciences, Shenyang Institute of Automation, No. 114 Nanta Street, Shenhe District, Shenyang 110016, China
2.Chinese Academy of Sciences, Key Laboratory of Opto-Electronic Information Processing, No. 114 Nanta Street, Shenhe District, Shenyang 110016, China
3.University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing 100049, China
Recommended Citation
GB/T 7714
Hou XL,Luo HB,Qi F,et al. Guided filter-based fusion method for multiexposure images[J]. Optical Engineering,2016,55(11):1-12.
APA Hou XL,Luo HB,Qi F,&Zhou PP.(2016).Guided filter-based fusion method for multiexposure images.Optical Engineering,55(11),1-12.
MLA Hou XL,et al."Guided filter-based fusion method for multiexposure images".Optical Engineering 55.11(2016):1-12.
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