Image inpainting with structure and texture propagation

Image inpainting technique uses structural and textural information to repair or fill missing regions of a picture. This paper focuses on novel image reconstruction method based on modified exemplar-based technique. The basic idea is to find an example (patch) from an image using local binary patterns, and replacing non-existed (`lost´) data with it. We propose to use multiple criteria for a patch similarity search since often in practice existed exemplar-based methods produce unsatisfactory results. The proposed method is tested on various samples of images, with different geometrical features and compared with the state-of-the-art image inpainting methods.