ECCV2018 2018

Fast and Efficient Image Quality Enhancement via Desubpixel Convolutional Neural Networks

ECCV2018 2018 thangvubk/FEQE

This paper considers a convolutional neural network for image quality enhancement referred to as the fast and efficient quality enhancement (FEQE) that can be trained for either image super-resolution or image enhancement to provide accurate yet visually pleasing images on mobile devices by addressing the following three main issues.

IMAGE ENHANCEMENT IMAGE SUPER-RESOLUTION