1 code implementation • 20 Jun 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Mohammad Ali Armin, Hongdong Li, Lars Petersson
There are 2000 reference restored images and 6003 original underwater images in the unpaired training set.
3 code implementations • 15 Apr 2021 • Junlin Han, Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin
Unsupervised image-to-image translation tasks aim to find a mapping between a source domain X and a target domain Y from unpaired training data.
1 code implementation • 17 Mar 2021 • Junlin Han, Mehrdad Shoeiby, Tim Malthus, Elizabeth Botha, Janet Anstee, Saeed Anwar, Ran Wei, Lars Petersson, Mohammad Ali Armin
Underwater image restoration attracts significant attention due to its importance in unveiling the underwater world.
no code implementations • 15 Apr 2020 • Mehrdad Shoeiby, Mohammad Ali Armin, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
Additionally, to the best of our knowledge, our method is the first specialized method to super-resolve mosaic images, whether it be multi-spectral or Bayer.
no code implementations • 17 Sep 2019 • Mehrdad Shoeiby, Sadegh Aliakbarian, Saeed Anwar, Lars Petersson
This mosaic image is then merged with the mosaic image generated by the SR network to produce a quantitatively superior image.
no code implementations • 5 Sep 2019 • Mehrdad Shoeiby, Lars Petersson, Mohammad Ali Armin, Sadegh Aliakbarian, Antonio Robles-Kelly
This paper introduces a novel method to simultaneously super-resolve and colour-predict images acquired by snapshot mosaic sensors.
no code implementations • 1 Apr 2019 • Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei, Radu Timofte
This paper introduces a newly collected and novel dataset (StereoMSI) for example-based single and colour-guided spectral image super-resolution.