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Efficient Shadow Removal Using Subregion Matching Illumination Transfer
Author(s) -
Xiao Chunxia,
Xiao Donglin,
Zhang Ling,
Chen Lin
Publication year - 2013
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.12250
Subject(s) - shadow (psychology) , computer science , computer vision , artificial intelligence , interpolation (computer graphics) , thresholding , matching (statistics) , boundary (topology) , process (computing) , image (mathematics) , mathematics , psychology , statistics , psychotherapist , mathematical analysis , operating system
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.