A Virtual Tripod for Hand-held Video Stacking on Smartphones
2014 (English)In: 2014 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP), IEEE , 2014Conference paper (Refereed)
We propose an algorithm that can capture sharp, low-noise images in low-light conditions on a hand-held smartphone. We make use of the recent ability to acquire bursts of high resolution images on high-end models such as the iPhone5s. Frames are aligned, or stacked, using rolling shutter correction, based on motion estimated from the built-in gyro sensors and image feature tracking. After stacking, the images may be combined, using e.g. averaging to produce a sharp, low-noise photo. We have tested the algorithm on a variety of different scenes, using several different smartphones. We compare our method to denoising, direct stacking, as well as a global-shutter based stacking, with favourable results.
Place, publisher, year, edition, pages
IEEE , 2014.
, IEEE International Conference on Computational Photography, ISSN 2164-9774
Engineering and Technology Electrical Engineering, Electronic Engineering, Information Engineering Signal Processing
IdentifiersURN: urn:nbn:se:liu:diva-108109DOI: 10.1109/ICCPHOT.2014.6831799ISI: 000356494100001ISBN: 978-1-4799-5188-8OAI: oai:DiVA.org:liu-108109DiVA: diva2:729193
IEEE International Conference on Computational Photography (ICCP 2014), May 2-4, 2014, Intel, Santa Clara, USA