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Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning 2019 edition
Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning
This volume starts with a wide review on image denoising, retracing and comparing various methods from the pioneer signal processing methods, to machine learning approaches with sparse and low-rank models, and recent deep learning architectures with autoencoders and variants.
144 pages, 56 Illustrations, color; 9 Illustrations, black and white; VIII, 144 p. 65 illus., 56 ill
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 17 de octubre de 2019 |
| ISBN13 | 9783030256135 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 144 |
| Dimensiones | 150 × 220 × 20 mm · 454 g |
| Lengua | Alemán |
| Editor | Ayache, Stephane |
| Editor | Baro, Xavier |
| Editor | Escalera, Sergio |
| Editor | Guclu, Umut |
| Editor | Madadi, Meysam |
| Editor | Wan, Jun |