Image Inpainting Using Structure-Guided Priority Belief Propagation and Label Transformations

Author

Hsin, Heng-Feng ; Leou, Jin-Jang ; Lin, Cheng-Shian ; Chen, Hsuan-Ying

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Ming-Hsiung, Taiwan

fYear

2010

fDate

23-26 Aug. 2010

Firstpage

4492

Lastpage

4495

Abstract

In this study, an image in painting approach using structure-guided priority belief propagation (BP) and label transformations is proposed. The proposed approach contains five stages, namely, Markov random field (MRF) node determination, structure map generation, label set enlargement by label transformations, image in painting by priority-BP optimization, and overlapped region composition. Based on experimental results obtained in this study, as compared with three comparison approaches, the proposed approach provides the better image in painting results.

Keywords

Markov processes; belief networks; image restoration; optimisation; random processes; MRF; Markov random field node determination; image inpainting; label set enlargement; label transformations; overlapped region composition; priority-BP optimization; structure map generation; structure-guided priority belief propagation; Belief propagation; Image edge detection; Lattices; Message passing; Multimedia communication; Optimization; Pixel; Markov random field; belief propagation; image inpainting; label transformation; struture map generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition (ICPR), 2010 20th International Conference on

Conference_Location

Istanbul

ISSN

1051-4651

Print_ISBN

978-1-4244-7542-1

Type

conf

DOI

10.1109/ICPR.2010.1091

Filename

5597785