Efficient Shadow Removal Using Subregion Matching Illumination Transfer

This paper proposes a new shadow removal approach for input single natural image by using subregion matching illumination transfer We first propose an effective and automatic shadow detection algorithm incorporating global successive thresholding scheme and local boundary refinement. Then we present...

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Bibliographic Details
Published in:Computer graphics forum Vol. 32; no. 7; pp. 421 - 430
Main Authors: Xiao, Chunxia, Xiao, Donglin, Zhang, Ling, Chen, Lin
Format: Journal Article
Language:English
Published: Oxford Blackwell Publishing Ltd 01.10.2013
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ISSN:0167-7055, 1467-8659
Online Access:Get full text
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Summary:This paper proposes a new shadow removal approach for input single natural image by using subregion matching illumination transfer We first propose an effective and automatic shadow detection algorithm incorporating global successive thresholding scheme and local boundary refinement. Then we present a novel shadow removal algorithm by performing illumination transfer on the matched subregion pairs between the shadow regions and non‐shadow regions, and this method can process complex images with different kinds of shadowed texture regions and illumination conditions. In addition, we develop an efficient shadow boundary processing method by using alpha matte interpolation, which produces seamless transition between the shadow and non‐shadow regions. Experimental results demonstrate the capabilities of our algorithm in both the shadow removal quality and performance.
Bibliography:ark:/67375/WNG-T4SSS92H-C
istex:9ECDA938EE29F4ECA3C54BA61D49CDEFE30350D6
ArticleID:CGF12250
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SourceType-Scholarly Journals-1
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12250