Tensorial restoration neural network for digital textual image inpainting

A new neural network model called Tensorial Restoration Neural Network Model (TRNNM) is proposed, which can repair the noise, blur, and information missing of digital textual images. It has a different structure from traditional classification convolutional neural networks which have deconvolution layer inside to perform dimensionality enhancement and inpainting on the repaired image data. After experimental verification of the proposed network model, the processed handwritten images are showing good restoration performance, which is much better than some traditional methods.