Téléchargez le livre : Graph Spectral Image Processing
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Description
Graph spectral image processing is the study of imaging data from a graph frequency perspective. Modern image sensors capture a wide range of visual data including high spatial resolution/high bit-depth 2D images and videos, hyperspectral images, light field images and 3D point clouds. The field of graph signal processing – extending traditional Fourier analysis tools such as transforms and wavelets to handle data on irregular graph kernels – provides new flexible computational tools to analyze and process these varied types of imaging data. Recent methods combine graph signal processing ideas with deep neural network architectures for enhanced performances, with robustness and smaller memory requirements.

The book is divided into two parts. The first is centered on the fundamentals of graph signal processing theories, including graph filtering, graph learning and graph neural networks. The second part details several imaging applications using graph signal processing tools, including image and video compression, 3D image compression, image restoration, point cloud processing, image segmentation and image classification, as well as the use of graph neural networks for image processing.
Pages
320 pages
Collection
n.c
Parution
2021-08-16
Marque
Wiley-ISTE
EAN papier
9781789450286
EAN PDF
9781119850823
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
320
Taille du fichier
11796 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €
EAN EPUB
9781119850816
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
320
Taille du fichier
15053 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
163,47 €

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