Image Understanding Using Sparse Representations
Image understanding has been playing an increasingly crucial role in several inverse problems and computer vision. Sparse models form an important component in image understanding, since they emulate the activity of neural receptors in the primary visual cortex of the human brain. Sparse methods have been utilized in several learning problems because of their ability to provide parsimonious, interpretable, and efficient models. Exploiting the sparsity of natural signals has led to advances in several application areas including image compression, denoising, inpainting, compressed sensing, blind source separation, super-resolution, and classif…
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Produktdetails
Weitere Autoren: Ramamurthy, Karthikeyan Natesan / Turaga, Pavan
- ISBN: 978-1-62705-359-4
- EAN: 9781627053594
- Produktnummer: 16335332
- Verlag: Morgan & Claypool Publishers
- Sprache: Englisch
- Erscheinungsjahr: 2014
- Seitenangabe: 120 S.
- Masse: H23.5 cm x B19.1 cm x D0.6 cm 241 g
- Abbildungen: Paperback
- Gewicht: 241
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