DocumentCode :
1844312
Title :
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
Link To Document :
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