A universal variational framework for sparsity-based image inpainting
In this paper, we extend an existing universal variational framework for image inpainting with new numerical algorithms. Given certain regularization operator Φ and denoting u the latent image, the basic model is to minimize the l(p), (p=0,1) norm of Φu preserving the pixel values outside the inpain...
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 23(2014), 10 vom: 04. Okt., Seite 4242-54 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2014
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Schlagworte: | Journal Article Research Support, Non-U.S. Gov't |
| Online verfügbar |
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