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Image inpainting: Overview and recent advances

Christine Guillemot 1, * Olivier Le Meur 2
* Corresponding author
1 Sirocco - Analysis representation, compression and communication of visual data
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique
2 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Image inpainting refers to the process of restoring missing or damaged areas in an image. This field of research has been very active over the past years, boosted by numerous applications: restoring images from scratches or text overlays, loss concealment in a context of impaired image transmission, object removal in a context of editing, disocclusion in image-based rendering of viewpoints different from those captured by the cameras. This article surveys the theoretical foundations, the different categories of methods, and illustrates the main applications
Keywords : Inpainting
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https://hal.inria.fr/hal-00876076
Contributor : Christine Guillemot <>
Submitted on : Wednesday, October 23, 2013 - 4:05:14 PM
Last modification on : Friday, March 6, 2020 - 1:21:01 AM

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  • HAL Id : hal-00876076, version 1

Citation

Christine Guillemot, Olivier Le Meur. Image inpainting: Overview and recent advances. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2014. ⟨hal-00876076⟩

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