Image deblurring aims to restore the detailed texture information or structures from blurry images, which has become an indispensable step in many computer vision tasks. Although various methods have been proposed deal with image problem, most of them treated as a whole and neglected characteristics different frequencies. In this paper, we present new method called multi-scale frequency separat...

Abstract We present an algorithm for supervised learning using tensor networks, employing a step of data pre-processing by coarse-graining through sequence wavelet transformations. These transformations are represented as set network layers identical to those in multi-scale entanglement renormalization ansatz network. perform and regression tasks model based on matrix product states (MPSs) acti...