Joint singular value decomposition - a new tool for separable representation of images
We propose a separable decomposition approximating the Karhunen-Loeve transform for random fields. We show that this problem is related to a joint singular value decomposition of a set of matrices and we provide an efficient algorithm to compute it. Finally, we illustrate the interest of this new tool for image representation and approximation.