Applied IMU image registration for super resolution on mobile devices.
| dc.contributor.advisor | Schubert, Keith Evan. | |
| dc.creator | Hartwig, Tyler, 1994- | |
| dc.date.accessioned | 2017-06-05T12:59:45Z | |
| dc.date.available | 2017-06-05T12:59:45Z | |
| dc.date.created | 2017-05 | |
| dc.date.issued | 2017-03-29 | |
| dc.date.submitted | May 2017 | |
| dc.date.updated | 2017-06-05T12:59:46Z | |
| dc.description.abstract | Mobile phones and cameras are incredibly popular and the hardware is becoming very impressive. The photos these devices are currently able to take are already of high quality, however it is possible to improve these cameras in software. It is possible to take burst-shot photos and utilize the phase offsets to realize a higher resolution signal. While this takes a large amount of computation, it is possible to reduce that computation by using the IMU devices on mobile phones. This research explores that idea, as well as investigating what signal resolving algorithms produce the highest quality image in combination with the IMU data. IMU sensors are shown to help in reducing the time it takes to register photos to sub-pixel accuracy. It is also shown that the results by using the sensors are comparable to not using these sensors. | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/2104/10043 | |
| dc.language.iso | en | |
| dc.rights.accessrights | Worldwide access | |
| dc.subject | Super resolution. Mobile. Device. Smartphone. Camera. Accelerometer. Gyroscope. IMU. Image. | |
| dc.title | Applied IMU image registration for super resolution on mobile devices. | |
| dc.type | Thesis | |
| dc.type.material | text | |
| thesis.degree.department | Baylor University. Dept. of Electrical & Computer Engineering. | |
| thesis.degree.grantor | Baylor University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | M.S.E.C.E. |
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