Multiframe Shift Estimation - Stephen A Bruckart
-25% su kodu BOOKS
Pristatymas per 10-16 d.d.
30 dienų grąžinimo politika
The purpose of this research was to develop a fundamental framework for a new approach to multiframe translational shift estimation in image processing. This thesis sought to create a new multiframe shift estimator, to theoretically prove and experimentally test key properties of it, and to quantify its performance according to several metrics. The new estimator was modeled successfully and was proven to be ... Visas aprašymas
Jums taip pat gali patikti
Aprašymas
The purpose of this research was to develop a fundamental framework for a new approach to multiframe translational shift estimation in image processing. This thesis sought to create a new multiframe shift estimator, to theoretically prove and experimentally test key properties of it, and to quantify its performance according to several metrics. The new estimator was modeled successfully and was proven to be an unbiased estimator under certain common image noise conditions. Furthermore its performance was shown to be superior to the cross correlation shift estimator, a robust estimator widely used in similar image processing cases, according to several criteria. This research effort led to the derivation of a lower bound of estimation performance for the multiframe case. This valuable data analysis tool extends current boundary derivations to include prior information about the random shifting, thereby providing a more precise performance boundary.
Daugiau informacijos
| Autorius | Stephen A Bruckart |
|---|---|
| Leidėjas | Creative Media Partners, LLC |
| Išleidimo metai | 2012 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9781249600770 |