A Hole-Filling Framework Based on DIBR and Improved Criminisi's Inpainting Algorithm for 3D Videos

Autor: Mengdie Wu, Michel Lenczner, Ke Du, Stéphane Domas
Přispěvatelé: Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174) (FEMTO-ST), Université de Technologie de Belfort-Montbeliard (UTBM)-Ecole Nationale Supérieure de Mécanique et des Microtechniques (ENSMM)-Université de Franche-Comté (UFC), Université Bourgogne Franche-Comté [COMUE] (UBFC)-Université Bourgogne Franche-Comté [COMUE] (UBFC)-Centre National de la Recherche Scientifique (CNRS), Shaanxi Polytechnic Institute
Jazyk: angličtina
Rok vydání: 2017
Předmět:
[SPI.OTHER]Engineering Sciences [physics]/Other
Speedup
Computer science
Inpainting
Process (computing)
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
020206 networking & telecommunications
02 engineering and technology
[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Image-based modeling and rendering
01 natural sciences
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Image (mathematics)
010309 optics
[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing
[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering
[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]
[INFO.INFO-DC]Computer Science [cs]/Distributed
Parallel
and Cluster Computing [cs.DC]
Algorithm
Zdroj: International Conference on Cloud and Big Data Computing
International Conference on Cloud and Big Data Computing, Sep 2017, London, United Kingdom
ICCBDC
Popis: International audience; This study is based on the properties of Depth Image Based Rendering (DIBR), especially on the characteristics of holes caused by disocclusion. In order to recover the texture and the structure in missing areas and to improve the quality of rendered image, some research has been done on the hole-filling process for the virtual view image, starting from Criminisi's inpainting algorithm. The depth information is taken into consideration in the hole-filling framework for 3D videos we proposed. Some pre-processing steps are also added to either enhance the quality of synthesized image in the virtual view or to speed up the processing. Experimental results show that the proposed framework has better performances than the existing method. Both the quality of synthesized image and the processing speed are improved.
Databáze: OpenAIRE
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