inpainting

Big Data Processing in Artwork Analysis

Digital image processing of the Ghent altarpiece: supporting the painting's study and conservation treatment

In this article, we show progress in certain image processingtechniques that can support the physical restoration of the painting, its art-historical analysis, or both. We show how analysis of the crack patterns could indicate possible areas of …

Depth-guided patch-based disocclusion filling for view synthesis via Markov random field modelling

In this paper, we propose a novel patch-based disocclusion filling method for view synthesis from video-plus-depth data. The proposed method treats disocclusion filling as a global optimization problem, where global (spatial) consistency among the …

Markov random field based image inpainting with context-aware label selection

In this paper, we propose a novel global Markov Random Field based image inpainting method with context-aware label selection. Context is determined based on the texture and color features in fixed image regions and is used to distinguish areas of …

Texture and color descriptors as a tool for context-aware patch-based image inpainting

State-of-the-art results in image inpainting are obtained with patch-based methods that fill in the missing region patch-by-patch by searching for similar patches in the known region and placing them at corresponding locations. In this paper, we …