Title :
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
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;
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
Print_ISBN :
978-1-4244-7542-1
DOI :
10.1109/ICPR.2010.1091
