Restauração de imagens coloridas usando uma rede neural convolucional residual

Image restoration aims to attenuate distortions caused in the acquisition process. In this paper, we use a residual convolutional neural network to restore colored images which were degraded by a Gaussian point spread function. As cost function, we consider the mean square error, and a function based on the structural similarity (SSIM) index. By means of simulations, we verify that the best restoration results were achieved with the function based on SSIM.