Techniques de codage d'images basées représentations parcimonieuses de scènes et prédiction spatiale multi-patches

Safa Chérigui 1, 2
2 Sirocco - Analysis representation, compression and communication of visual data
Abstract : In recent years, video compression eld has increased signicantly since the apparition of H.264/AVC standard and of its successor HEVC. Spatial prediction in these standards are based on the unidirectional propagation of neighboring pixels. Although very effective to extend pattern with the same characteristics, this prediction has limited performances to extrapolate complex textures. This thesis aims at exploring new spatial prediction schemes to improve the current intra prediction techniques, by extending these local schemes to global, multidimensional and multi-patches schemes. A hybrid prediction method based on template and block matching is first investigated. This hybrid approach is then extended to multi-patchs-based prediction of type "Neighbor Embedding" (NE). The other part of this thesis is dedicated to the study of epitome image within the scope of image compression. The idea is to exploit spatial redundancies in the original image in order to rst extract a summary image containing the texture patches the most representative of the image, and then use this compacted representation to rebuild the original image. The concept of epitome has been incorporated in two compression schemes, one of these algorithms is in rupture with the traditional techniques since the image blocks are processed, both at encoder and decoder sides, in a spatial order that depends on the image content and this in the interest of propagating image structures. In this last compression algorithm, extended H.264 Intra directional prediction modes and advanced multi-patches prediction methods have been also included. These different solutions have been integrated in a H.264/AVC encoder in order to assess their coding performances with respect to H.264 intra modes and the state of the art relative to these dierent techniques.
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Submitted on : Monday, July 6, 2015 - 11:42:29 AM
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  • HAL Id : tel-01171126, version 1


Safa Chérigui. Techniques de codage d'images basées représentations parcimonieuses de scènes et prédiction spatiale multi-patches. Traitement du signal et de l'image [eess.SP]. Université de Rennes 1, 2014. Français. ⟨tel-01171126⟩



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