EFFICIENT DEPTH MAP COMPRESSION EXPLOITING CORRELATION WITH TEXTURE DATA IN MULTIRESOLUTION PREDICTIVE IMAGE CODERS

Khouloud Samrouth 1 Olivier Deforges 2 Yi Liu 2 François Pasteau 2 Mohamad Khalil 3 Wassim Falou 4
1 Image - Equipe Compression et Image
IETR - Institut d'Electronique et de Télécommunications de Rennes, Azm platform for biomedical research
4 LaSTRe
Azm platform for biomedical research
Abstract : New 3D applications such as 3DTV and FVV require not only a large amount of data, but also high-quality visual rendering. Based on one or several depth maps, intermediate views can be synthesized using a depth image-based rendering technique. Many compression schemes have been proposed for texture-plus-depth data, but the exploitation of the correlation between the two representations in enhancing compression performances is still an open research issue. In this paper, we present a novel compression scheme that aims at improving the depth coding using a joint depth/texture coding scheme. This method is an extension of the LAR (Locally Adaptive Resolution) codec, initially designed for 2D images. The LAR coding framework provides a lot of functionalities such as lossy/lossless compression, low complexity, resolution and quality scalability and quality control. Experimental results address both lossless and lossy compression aspects, considering some state of the art techniques in the two domains (JPEGLS, JPEGXR). Subjective results on the intermediate view synthesis after depth map coding show that the proposed method significantly improves the visual quality.
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Communication dans un congrès
2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Hot topics in 3D coding., Jul 2013, San Jose, United States
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Dernière modification le : mercredi 16 mai 2018 - 11:24:09
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Khouloud Samrouth, Olivier Deforges, Yi Liu, François Pasteau, Mohamad Khalil, et al.. EFFICIENT DEPTH MAP COMPRESSION EXPLOITING CORRELATION WITH TEXTURE DATA IN MULTIRESOLUTION PREDICTIVE IMAGE CODERS. 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Hot topics in 3D coding., Jul 2013, San Jose, United States. 〈hal-00881063〉

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