An interactive image inpainting method based on RBF networks

Authors:
Peizhi Wen;Xiaojun Wu;Chengke Wu
Affiliations:
Department of Computer Science, Guilin University of Electronic Technology, Guilin, P.R. China;Harbin Institute of Technology Shenzhen Graduate School, HIT Campus, Shenzhen University Town, Xili, P.R. China;School of Telecommunication Engineering Xidian University, Xi’an, P.R. China
Venue:
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Year:
2006

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Abstract

A simple and efficient inpaiting algorithm is proposed based on radial basis function network in this paper. Using the user defined areas, a neighborhood narrow band of the needing fixed pixels are computed by an erosion operator of mathematical morphology technique. Then the weights of RBF network are estimated and a continuous function is constructed, from which the needy inpainted pixels can be filled in.