Picture Quality Prediction in Image Processing

Vincent Savaux 1 Geoffrey Cormier 2 Guy Carrault 2 Moïse Djoko-Kouam 3 Jean-Marc Laferté 3 Yves Louët 1 Alexandre Skrzypczak 4
1 IETR - Institut d'Electronique et de Télécommunications de Rennes
2 LTSI - Laboratoire Traitement du Signal et de l'Image
3 ECAM - ECAM Rennes - Louis de Broglie
4 Zodiac Data Systems
Abstract : Interpolations are among the most important tools for image processing. However, whether they are used for image compression and reconstruction purposes or for the increase of the image resolution along vertical, horizontal or both dimensions, the induced interpolation errors are often only qualitatively and a posteriori described. In this paper, we propose to extend a method used in an OFDM context to achieve a quantitative a priori estimation of interpolation errors. As shown by simulations, this estimation proves to be consistent with a posteriori error and quality measurements, such as mean square error (MSE) and peak signal-to-noise ratio (PSNR).
keyword : Interpolation a priori estimation mean square error peak signal to noise ratio
Type de document :
Communication dans un congrès
International Conference on Image and Signal Processing - ICISP 2014, Jun 2014, Cherbourg, France. Springer, 8509, pp.358-366, 2014, 〈10.1007/978-3-319-07998-1_41〉
Liste complète des métadonnées
https://hal-supelec.archives-ouvertes.fr/hal-01004803
Contributeur : Myriam Andrieux <>
Soumis le : mercredi 11 juin 2014 - 16:36:58
Dernière modification le : mercredi 16 mai 2018 - 11:23:44

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Vincent Savaux, Geoffrey Cormier, Guy Carrault, Moïse Djoko-Kouam, Jean-Marc Laferté, et al.. Picture Quality Prediction in Image Processing. International Conference on Image and Signal Processing - ICISP 2014, Jun 2014, Cherbourg, France. Springer, 8509, pp.358-366, 2014, 〈10.1007/978-3-319-07998-1_41〉. 〈hal-01004803〉

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