Intelligent Algorithms for Image Inpainting

Jakub Fišer Supervisor: Daniel Sýkora Master thesis 2012
The problem of synthesis of missing image parts represents an interesting area of image processing with significant potential. This thesis focuses on methods addressing the image inpainting problem using the information contained in the rest of the image. Selected methods are discussed in more detail, implemented and tested on different data sets.