Locally linear embedding based texture synthesis for image prediction and error concealment

Mehmet Turkan 1 Christine Guillemot 2
1 TEMICS - Digital image processing, modeling and communication
Inria Rennes – Bretagne Atlantique , IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
2 Sirocco - Analysis representation, compression and communication of visual data
IRISA-D5 - SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE, Inria Rennes – Bretagne Atlantique
Abstract : The template matching algorithm is a simple extension to exemplarbased texture synthesis. Average of template matching predictors or non-local means based approaches can be seen as heuristic extensions to template matching. These methods which linearly combine several texture patches have been shown to be more robust in synthesis and to give better results when compared to simple template matching. However, they do not search to minimize an approximation error on the known pixel values in the template. They are rather heuristic methods for calculating the linear weighting coefficients. This paper proposes a neighbor embedding based texture synthesis method by formulating the problem as a least-squares optimization using locally linear embedding. By this means, one calculates the linear weighting coefficients by solving a constrained optimization for approximating the template. The proposed texture synthesis framework has first been applied to the image prediction (predictive coding) problem. It has then been extended to a loss concealment application for transmission errors. Experimental results demonstrate the effectiveness of the proposed method for both image compression and error concealment.
Document type :
Conference papers
IEEE Int. Conf. Image Processing, Sep 2012, United States. pp.3009-3012, 2012


https://hal.archives-ouvertes.fr/hal-00747011
Contributor : Mehmet Turkan <>
Submitted on : Tuesday, October 30, 2012 - 2:12:32 PM
Last modification on : Monday, May 18, 2015 - 12:42:39 AM

File

0003009.pdf
fileSource_public_author

Identifiers

  • HAL Id : hal-00747011, version 1

Collections

Citation

Mehmet Turkan, Christine Guillemot. Locally linear embedding based texture synthesis for image prediction and error concealment. IEEE Int. Conf. Image Processing, Sep 2012, United States. pp.3009-3012, 2012. <hal-00747011>

Export

Share

Metrics

Consultation de
la notice

104

Téléchargement du document

94