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Image piecewise inpainting based on radial basis function

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:

1

Issue:

4

Page:

537 - 548


ISSN:

1756-378X


DOI:

10.1108/17563780810919113

Publisher:

Emerald Group Publishing Limited

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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


Article URL:

http://www.emeraldinsight.com/10.1108/17563780810919113

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