Wow! eBook
Graph Spectral Image Processing
Author(s): Gene Cheung (Author), Enrico Magli (Author)
- Publisher: Wiley-ISTE
- Publication Date: 19 Nov. 2021
- Edition: 1st
- Language: English
- Print length: 320 pages
- ISBN-10: 1789450284
- ISBN-13: 9781789450286
Book Description
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.
Editorial Reviews
About the Author
Gene Cheung received his PhD in Electrical Engineering and Computer Science from the University of California, Berkeley, USA. He is Associate Professor at York University, Canada, and an IEEE fellow. His research interests include image and graph signal processing.
Enrico Magli is Full Professor at Politecnico di Torino, Italy, and is an IEEE fellow. His research interests are within the field of graph signal processing and deep learning for image and video analysis.
