Tensor signal processing is an emerging field with important applications to computer vision and image processing.

This book presents the state of the art in this new branch of signal processing, offering a great deal of research and discussions by leading experts in the area. The wide-ranging volume offers an overview into cutting-edge research into the newest tensor processing techniques and their application to different domains related to computer vision and image processing.

This comprehensive text will prove to be an invaluable reference and resource for researchers,...

This unique text presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques. describes noise and signal estimation for MRI from a statistical signal processing perspective;

This wide-ranging volume, with contributions from leading experts, is an overview of cutting-edge research into the newest tensor processing techniques and how it can be applied to different domains related to computer vision and image processing.