Abstract
Artificial displacement (the apparent motion of stationary objects) is one important component of atmospheric turbulence distortion, which has led many researchers to propose motion compensation as a solution. Defining a sufficiently dense set of motion estimates for successful restoration is challenging, particularly for time sensitive applications. We introduce a new, control grid implementation of optical flow that allows for rapid and analytical solutions to the motion estimation problem. Our results demonstrate the effectiveness of using the resulting motion field for removing articial displacements in turbulence distorted videos.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 8355 |
| DOIs | |
| State | Published - 2012 |
| Event | Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII - Baltimore, MD, United States Duration: Apr 24 2012 → Apr 26 2012 |
Other
| Other | Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII |
|---|---|
| Country | United States |
| City | Baltimore, MD |
| Period | 4/24/12 → 4/26/12 |
Fingerprint
Keywords
- motion compensation
- turbulence
ASJC Scopus subject areas
- Applied Mathematics
- Computer Science Applications
- Electrical and Electronic Engineering
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
Cite this
Improved motion estimation for restoring turbulence-distorted video. / Zwart, Christine M.; Pracht, Richard; Frakes, David.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 8355 2012. 83550E.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Improved motion estimation for restoring turbulence-distorted video
AU - Zwart, Christine M.
AU - Pracht, Richard
AU - Frakes, David
PY - 2012
Y1 - 2012
N2 - Artificial displacement (the apparent motion of stationary objects) is one important component of atmospheric turbulence distortion, which has led many researchers to propose motion compensation as a solution. Defining a sufficiently dense set of motion estimates for successful restoration is challenging, particularly for time sensitive applications. We introduce a new, control grid implementation of optical flow that allows for rapid and analytical solutions to the motion estimation problem. Our results demonstrate the effectiveness of using the resulting motion field for removing articial displacements in turbulence distorted videos.
AB - Artificial displacement (the apparent motion of stationary objects) is one important component of atmospheric turbulence distortion, which has led many researchers to propose motion compensation as a solution. Defining a sufficiently dense set of motion estimates for successful restoration is challenging, particularly for time sensitive applications. We introduce a new, control grid implementation of optical flow that allows for rapid and analytical solutions to the motion estimation problem. Our results demonstrate the effectiveness of using the resulting motion field for removing articial displacements in turbulence distorted videos.
KW - motion compensation
KW - turbulence
UR - http://www.scopus.com/inward/record.url?scp=84864335476&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84864335476&partnerID=8YFLogxK
U2 - 10.1117/12.921125
DO - 10.1117/12.921125
M3 - Conference contribution
AN - SCOPUS:84864335476
SN - 9780819490339
VL - 8355
BT - Proceedings of SPIE - The International Society for Optical Engineering
ER -