Picture Quality Prediction in Image Processing

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).
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〉
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https://hal-supelec.archives-ouvertes.fr/hal-01004803
Contributeur : Myriam Andrieux <>
Soumis le : mercredi 11 juin 2014 - 16:36:58
Dernière modification le : jeudi 11 janvier 2018 - 06:24:18

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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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