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Epitome-based image compression using translational sub-pel mapping

Safa Cherigui 1, 2 Christine Guillemot 2 Dominique Thoreau 1 Philippe Guillotel 1 Patrick Pérez 3 
2 TEMICS - Digital image processing, modeling and communication
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper addresses the problem of epitome construction for image compression. An optimized epitome construction method is first described, where the epitome and the associated image reconstruction, are both successively performed at full pel and sub-pel accuracy. The resulting complete still image compression scheme is then discussed with details on some innovative tools. The PSNR-rate performance achieved with this epitome-based compression method is significantly higher than the one obtained with H.264 Intra and with state of the art epitome construction method. A bit-rate saving up to 16% comparatively to H.264 Intra is achieved.
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https://hal.inria.fr/hal-00749962
Contributor : Safa Cherigui Connect in order to contact the contributor
Submitted on : Thursday, November 8, 2012 - 4:38:15 PM
Last modification on : Friday, February 4, 2022 - 3:23:02 AM

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  • HAL Id : hal-00749962, version 1

Citation

Safa Cherigui, Christine Guillemot, Dominique Thoreau, Philippe Guillotel, Patrick Pérez. Epitome-based image compression using translational sub-pel mapping. MMSP'11 - IEEE International Conference on Multimedia Signal Processing, Oct 2011, Hangzhou, China. ⟨hal-00749962⟩

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