Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadatas

https://hal.inria.fr/hal-00876130
Contributor : Christine Guillemot <>
Submitted on : Wednesday, October 23, 2013 - 5:29:27 PM
Last modification on : Friday, July 10, 2020 - 4:26:38 PM

Identifiers

  • HAL Id : hal-00876130, version 1

Citation

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. ⟨hal-00876130⟩

Share

Metrics

Record views

347