Image Inpainting Using Structure-Guided Priority Belief Propagation and Label Transformations
Heng-Feng Hsin, Jin-Jang Leou, Cheng-Shian Lin, Hsuan‐Ying Chen · 2010
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.