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Yang, Seungjoon
Signal Processing Lab .
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Parallel Block Sequential Closed-Form Matting With Fan-Shaped Partitions

Author(s)
Lee, YongsikYang, Seungjoon
Issued Date
2018-02
DOI
10.1109/TIP.2017.2765827
URI
https://scholarworks.unist.ac.kr/handle/201301/23173
Fulltext
http://ieeexplore.ieee.org/document/8080268/
Citation
IEEE TRANSACTIONS ON IMAGE PROCESSING, v.27, no.2, pp.594 - 605
Abstract
Applying alpha matting to large images is a challenging task because of its computational complexity. This paper provides a divide and conquer strategy for performing closed-form matting. The matting problem, defined for an entire image, is broken down into systems of linear equations defined for very small blocks of the image. The sizes of the small systems are small enough for us to find solutions efficiently using a direct sparse linear equation system solver. The small systems are solved following a sequential order such that the alpha matte grows from a user scribble. With the block sequential application, matting is performed on fan-shaped partitions in parallel on multiple processing cores. Experiments on large test images as well as on standard benchmark test images show that the proposed parallel block sequential matting provides high quality alpha mattes with good scalability.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
ISSN
1057-7149
Keyword (Author)
image segmentationAlpha mattingparallel processing

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