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Vector-valued image regularization with PDE's: a common framework for different applications

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2 Author(s)
Tschumperle, D. ; Odyssie Lab, INRIA, Sophia-Antipolis, France ; Deriche, R.

We address the problem of vector-valued image regularization with variational methods and PDEs. From the study of existing formalisms, we propose a unifying framework based on a very local interpretation of the regularization processes. The resulting equations are then specialized into new regularization PDEs and corresponding numerical schemes that respect the local geometry of vector-valued images. They are finally applied on a wide variety of image processing problems, including color image restoration, in-painting, magnification and flow visualization.

Published in:

Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on  (Volume:1 )

Date of Conference:

18-20 June 2003