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Article Information:
Title:
Image piecewise inpainting based on radial basis function
Author(s):
Minfen Shen, Jialiang Chen, Bin Li
Journal:
International Journal of Intelligent Computing and Cybernetics
Year:
2008
Volume:
Issue:
Page:
537 - 548
DOI:
10.1108/17563780810919113
Publisher:
Emerald Group Publishing Limited
Document Access:
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Abstract:
Purpose – The purpose of this paper is to present a novel algorithm for image inpainting, which has been widely used for removing unwanted objects from images or reconstructing damaged photographs.
Design/methodology/approach – An image piecewise inpainting technique based on radial basis function (RBF) is used to transform the 2D image inpainting problem into 3D implicit surface reconstruction problem. And a RBF center reduction method is proposed. By RBF resampling, the algorithm can nicely fix the damaged image or remove specific objects.
Findings – Experimental results show that the proposed algorithms can prevent the edge blur caused by the isotropic character of RBF, and effectively reduce the RBF centers without a loss in accuracy.
Originality/value – The proposed inpainting approach is interesting for its combination of RBF method and region segmentation that can handle the restoring of high-variation areas.
Keywords:
Image processing equipment,
Programming and algorithm theory
Article Type:
Research paper
References:
Article URL:
www.emeraldinsight.com/10.1108/17563780810919113