Relighting abstracted image via salient edge-guided luminance field optimization

doi:10.1002/cav.1516

Status	已發表Published
	Relighting abstracted image via salient edge-guided luminance field optimization
	Liu C.2; Li H.1; Peng Q.3; Wang X.2; Wu E.1
	2013-05-01
Source Publication	Computer Animation and Virtual Worlds
Volume	24
Issue	3-4
Pages	265-274
Abstract	Because existing image abstraction systems can hardly incorporate with the changing light, we present an integrated image abstraction and relighting rendering system, which is based on a salient edge-guided luminance field optimization approach. For an input image, we first adopt a sparsity prior-based illumination decomposition method to remove its original illumination and have an intrinsic image. Meanwhile, we iteratively extract the salient edge inside by employing a message-passing strategy. Then, we simplify this image with a proposed salient edge-guided image abstraction optimization algorithm in the luminance field. Finally, we put forward a salient edge-guided image relighting optimization method to simulate the effect of dynamic lighting along different directions. Experiment results show that our system can artistically adjust the illumination of the abstracted image and makes it more vivid. Copyright © 2013 John Wiley & Sons, Ltd.
Keyword	energy optimization illumination decomposition image abstraction image relighting salient edge
DOI	10.1002/cav.1516
URL	View the original
Language	英語English
Fulltext Access	View Full-Text via DOI View Full-Text via Web of Science View Full-Text via Scopus
Citation statistics	Cited Times [WOS]:0 [WOS Record] [Related Records in WOS]
Document Type	Conference paper
Collection	University of Macau
Affiliation	1.Universidade de Macau 2.Zhejiang Gongshang University 3.Zhejiang University
Recommended Citation GB/T 7714	Liu C.,Li H.,Peng Q.,et al. Relighting abstracted image via salient edge-guided luminance field optimization[C], 2013, 265-274.
APA	Liu C.., Li H.., Peng Q.., Wang X.., & Wu E. (2013). Relighting abstracted image via salient edge-guided luminance field optimization. Computer Animation and Virtual Worlds, 24(3-4), 265-274.

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