Paper Info
Title
Two-step Algorithm for Image Inpainting.
Abstract
In this work we propose a new algorithm for image inpainting. The proposal is patch-based, so we look for similar small regions (windows) through the whole image to inpaint the unknown area. The final goal is to obtain a complete image with no visual differences between the original part and the reconstructed one. The main novelty is the use of color and gradient properties to look for similar windows of the image. We combine these two properties in two stages. In the first one we cluster all the available windows taking into account only the gradient feature. With this step we preselect some windows from the set of all available ones. From all the preselected ones, we finally select the most similar in color intensity. The results show that our algorithm gets final images with better textures than the ones obtained just considering color features.
Year
DOI
Venue
2017
10.1007/978-3-319-66824-6_27
ADVANCES IN FUZZY LOGIC AND TECHNOLOGY 2017, VOL 2
Keywords
Field
DocType
Image inpainting,Color,Gradient,Clustering
Computer science,Algorithm,Inpainting,Novelty,Cluster analysis
Conference
Volume
ISSN
Citations 
642
2194-5357
0
PageRank 
References 
Authors
0.34
3
5
Name
Order
Citations
PageRank
Aranzazu Jurio131121.89
Daniel Paternain223726.18
Miguel Pagola397945.68
Cédric Marco-Detchart4155.80
Humberto Bustince51938134.10