Image inpainting using LLE-LDNR and linear subspace mappings

Christine Guillemot 1 Mehmet Turkan 2 Olivier Le Meur 2 Mounira Ebdelli 1
1 Sirocco - Analysis representation, compression and communication of visual data
Inria Rennes – Bretagne Atlantique , IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE
2 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : The paper first describes an examplar-based image inpainting algorithm using a locally linear neighbor embedding technique with low-dimensional neighborhood representation (LLE-LDNR). The inpainting algorithm first searches the K nearest neighbors (K-NN) of the input patch to be filled-in and linearly combine them with LLE-LDNR to synthesize the missing pixels. Linear regression is then introduced for improving the K-NN search. The performance of the LLE-LDNR with the enhanced K-NN search method is assessed for two applications: loss concealment and object removal.
Type de document :
Communication dans un congrès
IEEE Intl. Conf. on Acoustics and Signal Processing (IEEE-ICASSP), May 2013, Vancouver, United States. 2013
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https://hal.inria.fr/hal-00876130
Contributeur : Christine Guillemot <>
Soumis le : mercredi 23 octobre 2013 - 17:29:27
Dernière modification le : mercredi 16 mai 2018 - 11:23:38

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  • HAL Id : hal-00876130, version 1

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Christine Guillemot, Mehmet Turkan, Olivier Le Meur, Mounira Ebdelli. Image inpainting using LLE-LDNR and linear subspace mappings. IEEE Intl. Conf. on Acoustics and Signal Processing (IEEE-ICASSP), May 2013, Vancouver, United States. 2013. 〈hal-00876130〉

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