Abstract
We present a new split-type algorithm for the minimization
of a p-harmonic energy with added data fidelity
term. The half-quadratic splitting reduces the
original problem to two straightforward problems, that
can be minimized efficiently. The minimizers to the two
sub-problems can typically be computed pointwise and
are easily implemented on massively parallel processors.
Furthermore the splitting method allows for the
computation of solutions to a large number of more advanced
directional regularization problems. In particular
we are able to handle robust, non-convex data terms,
and to define a 0-harmonic regularization energy where
we sparsify directions by means of an L0 norm.
of a p-harmonic energy with added data fidelity
term. The half-quadratic splitting reduces the
original problem to two straightforward problems, that
can be minimized efficiently. The minimizers to the two
sub-problems can typically be computed pointwise and
are easily implemented on massively parallel processors.
Furthermore the splitting method allows for the
computation of solutions to a large number of more advanced
directional regularization problems. In particular
we are able to handle robust, non-convex data terms,
and to define a 0-harmonic regularization energy where
we sparsify directions by means of an L0 norm.
| Originalsprog | Engelsk |
|---|---|
| Titel | Proceedings of the 21st International Conference on Pattern Recognition (ICPR) |
| Antal sider | 5 |
| Forlag | IEEE |
| Publikationsdato | 2012 |
| Sider | 3094-3098 |
| ISBN (Trykt) | 978-4-9906441-0-9 |
| Status | Udgivet - 2012 |
| Begivenhed | International Conference on Pattern Recognition - Tsukuba International Congress Center, Tsukuba, Japan Varighed: 11 nov. 2012 → 15 nov. 2012 Konferencens nummer: 21 |
Konference
| Konference | International Conference on Pattern Recognition |
|---|---|
| Nummer | 21 |
| Lokation | Tsukuba International Congress Center |
| Land/Område | Japan |
| By | Tsukuba |
| Periode | 11/11/2012 → 15/11/2012 |