Graph spectral image processing /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Cheung, Gene (Editor ), Magli, Enrico (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London, UK ; Hoboken, NJ, USA : Wiley-ISTE, 2021.
Colección:Sciences. Image. Compression, coding and protection of images and videos
Temas:
Image processing.
Spectral imaging.
Graph theory.
Traitement d'images.
Imagerie spectrale.
image processing.
Graph theory
Image processing
Spectral imaging
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Tabla de Contenidos:
  • Introduction to Graph Spectral Image Processing / Gene CHEUNG and Enrico MAGLI. Part 1. Fundamentals of Graph Signal Processing Chapter 1. Graph Spectral Filtering / Yuichi TANAKA
  • Chapter 2. Graph Learning / Xiaowen DONG, Dorina THANOU, Michael RABBAT and Pascal FROSSARD
  • Chapter 3. Graph Neural Networks / Giulia FRACASTORO and Diego VALSESIA
  • Chapter 4. Graph Spectral Image and Video Compression / Hilmi E. EGILMEZ, Yung-Hsuan CHAO and Antonio ORTEGA
  • Chapter 5. Graph Spectral 3D Image Compression / Thomas MAUGEY, Mira RIZKALLAH, Navid MAHMOUDIAN BIDGOLI, Aline ROUMY and Christine GUILLEMOT
  • Chapter 6. Graph Spectral Image Restoration / Jiahao PANG and Jin ZENG
  • Chapter 7. Graph Spectral Point Cloud Processing / Wei HU, Siheng CHEN and Dong TIAN
  • Chapter 8. Graph Spectral Image Segmentation / Michael NG
  • Chapter 9. Graph Spectral Image Classification 241 / Minxiang YE, Vladimir STANKOVIC, Lina STANKOVIC and Gene CHEUNG
  • Chapter 10. Graph Neural Networks for Image Processing / Giulia FRACASTORO and Diego VALSESIA.

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