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INPAINTING

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Inpainting Tools for Video Post production Variational theory and fast algorith...

Inpainting Tools for Video Post production Variational theory and fast algorithms The goal of this project is the mathematical investigation of smoothness and self-similarity principles in generating natural images, the mathematical formulation and unification of both ideas in a variational form, and its applic... ver más

30/09/2014

UPF

515K€

Presupuesto del proyecto: 515K€

Líder del proyecto

UNIVERSITAT POMPEU FABRA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 322

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo FP7 notifico la concesión del proyecto el día 2014-09-30 No tenemos la información de la convocatoria

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1 Participantes

UPF

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Líder del proyecto

UNIVERSITAT POMPEU FABRA No se ha especificado una descripción o un objeto social para esta compañía.

Total investigadores 322

Presupuesto del proyecto 515K€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto The goal of this project is the mathematical investigation of smoothness and self-similarity principles in generating natural images, the mathematical formulation and unification of both ideas in a variational form, and its application to develop models and algorithms for image processing tasks. The proposed research will lead to the formulation and mathematical analysis of new variational principles for image and movie processing, the analysis of their underlying geometric measure theory and partial differential equations, unifying local and nonlocal approaches as respective mathematical expressions of the ideas of regularity and self-similarity. Our research will be guided by a thorough investigation of the inpainting problem (including images, video and stereo video inpainting), as a very suitable model for testing the proposed ideas. The first practical impact will be the development of models and algorithms for 2D and 3D image and video editing and manipulation, enabling the deletion and insertion of objects. As a second impact we will provide the theoretical background and implementation of a set of algorithms for 2D to 3D conversion of video data enabling the generation of 3D content for 3D TV from existing 2D video. Due to its fundamental nature, the proposed models may impact other image and video processing areas such as denoising, restoration, optical flow computation, or stereo, that share similar challenges. Although their study is not in the scope of this project, it will be fostered by the dissemination of our results and the public release of our algorithms. The PI has a long experience in the variational formulation of image processing problems, with key contributions in the variational formulations of edge detection and image inpainting, mathematical morphology, and the analysis of Total Variation based models. On the practical side, he has been contributing to the development of video post-production tools in several projects led by industry.

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