期刊
JOURNAL OF MATHEMATICAL IMAGING AND VISION
卷 56, 期 2, 页码 300-319出版社
SPRINGER
DOI: 10.1007/s10851-016-0665-5
关键词
Nonlinear spectral representations; One-homogeneous functionals; Total variation; Nonlinear eigenvalue problem; Image decomposition
类别
资金
- Israel Science Foundation (ISF) [2097/15]
- Magnet program of the OCS, Israel Ministry of Economy
- ERC via Grant EU FP 7-ERC Consolidator Grant [615216 LifeInverse]
We present in this paper the motivation and theory of nonlinear spectral representations, based on convex regularizing functionals. Some comparisons and analogies are drawn to the fields of signal processing, harmonic analysis, and sparse representations. The basic approach, main results, and initial applications are shown. A discussion of open problems and future directions concludes this work.
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