Structure-Aware Image Completion with Texture Propagation

Structure-aware image completion has the reputation of keeping the salient structure of images, except for the case in texture propagation of images with distinguishing texture characteristics and large missing region. This inspirits us to design this new algorithm that could intensify texture-aware functions in the structure completion processing in an optimal manner. To avoid the occurrence of visually inconsistent results, we consider the filling of missing region as the energy minimization, using Belief Propagation (BP), of discrete Markov random field with integrated constraints of the costs of label, structure coherence and texture coherence. Moreover, wavelet multi-resolution image pyramid is adopted in our method, which not only enhances the global geometric structures and detailed texture features within large missing region, but as well speeds up the rate of convergence in the synthesis process.