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.
"Recent Advances in Smartphone Computational Photography,"
Scholarly Horizons: University of Minnesota, Morris Undergraduate Journal: Vol. 8
, Article 4.
Available at: https://digitalcommons.morris.umn.edu/horizons/vol8/iss1/4