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Guided image completion by confidence propagation
The University of Hong Kong, Pokfulam, Hong Kong.
CSIRO Computational Informatics, North Ryde, NSW, Australia.
The University of Hong Kong, Pokfulam, Hong Kong.
Aizu Research Cluster for Medical Engineering and Informatics, The University of Aizu, Fukushima, Japan.ORCID iD: 0000-0002-4255-5130
2016 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 50, 210-222 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a new guided image completion method which fills any missing values by considering information from a guidance image. We develop a confidence propagation scheme that allows the filling process to be carried out simultaneously without the need of deciding the filling order. We conduct experiments in several applications where the problem can be formulated into a guided image completion problem, such as interactive segmentation and colorization. The experimental results show that our method provides good results and succeeds in situations where conventional methods fail. In addition, as all building blocks are parallel processes, our method is much suitable for hardware acceleration.

Place, publisher, year, edition, pages
Elsevier, 2016. Vol. 50, 210-222 p.
Keyword [en]
Confidence propagation;Image completion;Image segmentation;Colorization
National Category
Computer Vision and Robotics (Autonomous Systems)
URN: urn:nbn:se:liu:diva-124597DOI: 10.1016/j.patcog.2015.08.003OAI: diva2:901029
Available from: 2016-02-05 Created: 2016-02-05 Last updated: 2016-02-22Bibliographically approved

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Pham, Tuan
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