Tensor signal processing, and specifically tensor processing for computer vision and imaging applications, is a very attractive emerging field that, driven by many independent applications, is developing into a new research area by its own. In the last few years, there has been an increasing interest in tensor processing for image analysis and applications based on tensor-valued data. A significant part of this interest is due to the appearance of DT-MRI (Diffusion Tensor Magnetic Resonance Imaging), a relatively new medical imaging modality that provides tensor-valued data. However, tensor features are also being employed for other purposes, such as the case of the structure tensor.
Tensors have been traditionally used in many areas such as mathematics, physics or technology. However, the new challenges that arise in the vision and image fields, may lead to a new specific way of dealing with tensors. These new procedures may be more related to the tensor nature of the information itself than to a particular application.
A quick look to the main journals in the areas of computer vision, image processing and medical imaging will reveal this increasing attention for tensors. Besides, in the last few years several scientific events have taken place that illustrate the growing interest in this topic.
We believe that the organization of a workshop on tensor processing will bring together researchers focusing on different applications in Computer Vision and Image Processing, and the topic of tensor processing can be more clearly presented to the interested scientific community, highlighting the common elements and gaining profit from sharing the innovations from the various application areas.