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Navier-stokes, fluid dynamics, and image and video inpainting
Bertalmio, M.   Bertozzi, A.L.   Sapiro, G.  
Comput. Eng. Dept, Univ. Pompeu Fabra, Barcelona, Spain;

This paper appears in: Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
Publication Date: 2001
Volume: 1,  On page(s): I-355- I-362 vol.1
ISSN: 1063-6919
ISBN: 0-7695-1272-0
INSPEC Accession Number: 7176886
Digital Object Identifier: 10.1109/CVPR.2001.990497
Current Version Published: 2003-04-15

Abstract
Image inpainting involves filling in part of an image or video using information from the surrounding area. Applications include the restoration of damaged photographs and movies and the removal of selected objects. We introduce a class of automated methods for digital inpainting. The approach uses ideas from classical fluid dynamics to propagate isophote lines continuously from the exterior into the region to be inpainted. The main idea is to think of the image intensity as a 'stream function for a two-dimensional incompressible flow. The Laplacian of the image intensity plays the role of the vorticity of the fluid; it is transported into the region to be inpainted by a vector field defined by the stream function. The resulting algorithm is designed to continue isophotes while matching gradient vectors at the boundary of the inpainting region. The method is directly based on the Navier-Stokes equations for fluid dynamics, which has the immediate advantage of well-developed theoretical and numerical results. This is a new approach for introducing ideas from computational fluid dynamics into problems in computer vision and image analysis.

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