Improved motion estimation for restoring turbulence-distorted video

Christine M. Zwart; Richard Pracht; David Frakes

doi:10.1117/12.921125

Improved motion estimation for restoring turbulence-distorted video

Christine M. Zwart, Richard Pracht, David Frakes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

5 Scopus citations

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	Infrared Imaging Systems
Subtitle of host publication	Design, Analysis, Modeling, and Testing XXIII
DOIs	https://doi.org/10.1117/12.921125
State	Published - Aug 1 2012
Event	Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII - Baltimore, MD, United States Duration: Apr 24 2012 → Apr 26 2012

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8355
ISSN (Print)	0277-786X

Other

Other	Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII
Country	United States
City	Baltimore, MD
Period	4/24/12 → 4/26/12

Keywords

motion compensation
turbulence

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.921125

Fingerprint Dive into the research topics of 'Improved motion estimation for restoring turbulence-distorted video'. Together they form a unique fingerprint.

Cite this

Zwart, C. M., Pracht, R., & Frakes, D. (2012). Improved motion estimation for restoring turbulence-distorted video. In Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII [83550E] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8355). https://doi.org/10.1117/12.921125

Improved motion estimation for restoring turbulence-distorted video. / Zwart, Christine M.; Pracht, Richard; Frakes, David.

Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII. 2012. 83550E (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8355).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Zwart, CM, Pracht, R & Frakes, D 2012, Improved motion estimation for restoring turbulence-distorted video. in Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII., 83550E, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8355, Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII, Baltimore, MD, United States, 4/24/12. https://doi.org/10.1117/12.921125

@inproceedings{698dec153dc5439998f5896ed8daccea,

title = "Improved motion estimation for restoring turbulence-distorted video",

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.",

keywords = "motion compensation, turbulence",

author = "Zwart, {Christine M.} and Richard Pracht and David Frakes",

year = "2012",

month = aug,

day = "1",

doi = "10.1117/12.921125",

language = "English (US)",

isbn = "9780819490339",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Infrared Imaging Systems",

note = "Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII ; Conference date: 24-04-2012 Through 26-04-2012",

}

TY - GEN

T1 - Improved motion estimation for restoring turbulence-distorted video

AU - Zwart, Christine M.

AU - Pracht, Richard

AU - Frakes, David

PY - 2012/8/1

Y1 - 2012/8/1

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

T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Infrared Imaging Systems

T2 - Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XXIII

Y2 - 24 April 2012 through 26 April 2012

ER -