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pro vyhledávání: '"Toutounchi, Farzad"'
Autor:
Toutounchi, Farzad, Izquierdo, Ebroul
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 art
Externí odkaz:
http://arxiv.org/abs/1812.06023
Autor:
Giannopoulos, Michalis, Tsagkatakis, Grigorios, Blasi, Saverio, Toutounchi, Farzad, Mouchtaris, Athanasios, Tsakalides, Panagiotis, Mrak, Marta, Izquierdo, Ebroul
Video Quality Assessment (VQA) is a very challenging task due to its highly subjective nature. Moreover, many factors influence VQA. Compression of video content, while necessary for minimising transmission and storage requirements, introduces distor
Externí odkaz:
http://arxiv.org/abs/1809.10117