1 code implementation • 14 Dec 2018 • Farzad Toutounchi, Ebroul Izquierdo
In this paper, we present a novel deep learning-based approach for still image super-resolution, that unlike the mainstream models does not rely solely on the input low resolution image for high quality upsampling, and takes advantage of a set of artificially created auxiliary self-replicas of the input image that are incorporated in the neural network to create an enhanced and accurate upscaling scheme.
no code implementations • 26 Sep 2018 • Michalis Giannopoulos, Grigorios Tsagkatakis, Saverio Blasi, Farzad Toutounchi, Athanasios Mouchtaris, Panagiotis Tsakalides, Marta Mrak, Ebroul Izquierdo
Moreover, transmission also introduces delays and other distortion types which affect the perceived quality.