The latest research done in the Deep-FIR project has just been published in MDPI Sensors, titled ‘The Best of Both Worlds: a Framework for Combining Degradation Prediction with High Performance Super-Resolution Networks’.

The paper details a novel approach where existing super-resolution models can be modified to utilise supplementary information in the form of degradation prediction in order to further improve performance and to better reflect real-world scenarios where degradation information needs to be estimated.

The paper may be found . The code accompanying the paper is also available , with models available for download .

The post Paper Accepted for Publication in MDPI Sensors first appeared on Deep-FIR.

Following the publication of the first article on the highly popular website, the second article has now also been published.

The article, titled ‘‘, deals with a review of popular techniques and remaining challenges in the field of image super-resolution.

We again hope that you enjoy reading the article and find it informative. Make sure to follow this website or any of our social media channels ( and ) to remain updated with the latest news related to the Deep-FIR project. You may also  the author (Dr Ing. Christian Galea) on Medium to ensure that you’re updated whenever a new article is published.

The post Second Article Published in Towards Data Science first appeared on Deep-FIR.