Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal
Document Type
Article
Abstract
Smartphone cameras present many challenges, most of which come from the need for them to be physically small. Their small size puts a fundamental limit on their ability to resolve detail and collect light, which makes low-light photography and zooming difficult. This paper presents two approaches to improve smartphone photography through software techniques. The first is handheld super-resolution which uses natural hand movement to improve the resolution smartphone images, especially when zoomed. The second approach is a system which improves low light photography in smartphones.
Recommended Citation
Friederichsen, Paul
(2021)
"Recent Advances in Smartphone Computational Photography,"
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal: Vol. 8:
Iss.
1, Article 4.
DOI: https://doi.org/10.61366/2576-2176.1088
Available at:
https://digitalcommons.morris.umn.edu/horizons/vol8/iss1/4
Primo Type
Article