Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning -  - Books - Springer Nature Switzerland AG - 9783030256135 - October 17, 2019
In case cover and title do not match, the title is correct

Inpainting and Denoising Challenges - The Springer Series on Challenges in Machine Learning 2019 edition


Get an email once the item is available
Do you have a profile? Log in
Add to your iMusic wish list

Not rated yet

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

Media Books     Hardcover Book   (Book with hard spine and cover)
Released October 17, 2019
ISBN13 9783030256135
Publishers Springer Nature Switzerland AG
Pages 144
Dimensions 150 × 220 × 20 mm   ·   454 g
Language German  
Editor Ayache, Stephane
Editor Baro, Xavier
Editor Escalera, Sergio
Editor Guclu, Umut
Editor Madadi, Meysam
Editor Wan, Jun

More from the same publisher