Regular Articles

Multi-image motion deblurring aided by inertial sensors

[+] Author Affiliations
Ruiwen Zhen, Robert L. Stevenson

University of Notre Dame, Electrical Engineering Department, 275 Fitzpatrick Hall, Notre Dame 46545, Indiana, United States

J. Electron. Imaging. 25(1), 013027 (Feb 15, 2016). doi:10.1117/1.JEI.25.1.013027
History: Received May 25, 2015; Accepted January 12, 2016
Text Size: A A A

Abstract.  This paper addresses the problem of removing spatially varying blur caused by camera motion with the help of inertial measurements recorded during exposure time. By utilizing a projective motion blur model, the camera motion is viewed as a sequence of projective transformations on the image plane, each of which can be estimated from the corresponding inertial data sample. Unfortunately, measurement noise leads to temporally increasing drift in the estimated motion trajectory and can significantly degrade the quality of recovered images. To address this issue, this paper employs capturing a small sequence of images with different exposure settings along with the recorded inertial data. A special arrangement of exposure settings is designed to anchor the correct position of the camera trajectory, followed by a drift correction step, which makes use of the sharp image structures preserved in one of the captured images. The effectiveness of our approach is demonstrated by conducting comparison experiments on both synthetic images and real images.

Figures in this Article
© 2016 SPIE and IS&T

Topics

Cameras ; Sensors

Citation

Ruiwen Zhen and Robert L. Stevenson
"Multi-image motion deblurring aided by inertial sensors", J. Electron. Imaging. 25(1), 013027 (Feb 15, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.1.013027


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.