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