A Variational Algorithm For Motion Compensated Inpainting

نویسندگان

  • François Lauze
  • Mads Nielsen
چکیده

A novel variational algorithm is developed for video inpainting. Within a Bayesian framework, using standard maximum a posteriori to variational formulation rationale, we derive a minimum energy formulation for the estimation of a reconstructed sequence as well as motion recovery. From the EulerLagrange Equations, we propose a full multiresolution algorithm in order to compute a good local minimizer for our energy and discuss its numerical implementation. Experimental results for synthetic as well as real sequences are presented.

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تاریخ انتشار 2004