Differentiation of discrete multidimensional signals
We describe the design of finite-size linear-phase separable kernels for differentiation of discrete multidimensional signals. The problem is formulated as an optimization of the rotation-invariance of the gradient operator, which results in a simultaneous constraint on a set of one-dimensional low-...
| Publié dans: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1997. - 13(2004), 4 vom: 10. Apr., Seite 496-508 |
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| Format: | Article |
| Langue: | English |
| Publié: |
2004
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| Accès à la collection: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society |
| Sujets: | Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Validation Study |