Inpainting and Denoising Challenges
Springer Nature Switzerland AG, 2019
66,50 €On orderDelivery: 2-3 weeks
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.
- ISBN-13
- 9783030256135
- ISBN-10
- 3030256138
- Publisher
- Springer Nature Switzerland AG
- Year
- 2019
- Publication date
- 2019-10-17
- Pages
- 144
- Dimensions
- 235x155x