Image inpainting algorithm based on edge reconstruction

Author

Voronin, V.V. ; Marchuk, V.I. ; Frantc, V.A. ; Egiazarian, K.O.

Author_Institution

Dept. of Radio-Electron. Syst., South-Russia State Univ. of Econ. & Services, Shakhty, Russia

Volume

1

fYear

2012

fDate

21-25 Oct. 2012

Firstpage

659

Lastpage

662

Abstract

A novel image inpainting algorithm based on edge reconstruction using combined approach capable to restore both image texture and structure is proposed in this paper. For edge and boundary detection and recovery a multi-stage edge detection procedure based on cubic splines is used. The choice of the current pixel to be recovered is decided using the fast marching approach. The Telea method or the exemplar based method are used after this depending on the classification of the regions where to-be-restored pixel is located. The performance of the proposed approach is demonstrated via several examples, showing the effectiveness of the proposed algorithm in removal of small and large objects from the test images.

Keywords

edge detection; image classification; image restoration; image texture; splines (mathematics); Telea method; boundary detection; cubic splines; edge reconstruction; exemplar based method; fast marching approach; image classification; image inpainting algorithm; image structure; image texture restoration; multistage edge detection procedure; edge detection; image texture analysis; inpainting; reconstruction; spline interpolation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing (ICSP), 2012 IEEE 11th International Conference on

Conference_Location

Beijing

ISSN

2164-5221

Print_ISBN

978-1-4673-2196-9

Type

conf

DOI

10.1109/ICoSP.2012.6491574

Filename

6491574