Non-blind hardware and software deconvolution for jitter reduction

Drew DeJarnette; Patrick Mickel; Jason Paxton

doi:10.1117/12.2660426

13 June 2023 Non-blind hardware and software deconvolution for jitter reduction

Drew DeJarnette, Patrick Mickel, Jason Paxton

Proceedings Volume 12523, Computational Imaging VII ; 125230D (2023) https://doi.org/10.1117/12.2660426
Event: SPIE Defense + Commercial Sensing, 2023, Orlando, Florida, United States

Abstract

For many imaging applications installed on moving platforms, especially for smaller platforms without the advantage of large inertial mass, jitter is one the primary drivers in modulation transfer function (MTF) degradation. The use of an inertial measurement unit (IMU) to detect motion for non-blind deconvolution of imagery is not a new concept. However, most systems are focused on still photographs for small optical systems, such as cell phones, and are not focused on real-time implementation for full motion video (FMV) with dynamic systems that have multiple moving parts. Further, no existing system utilizes IMU information to intelligently decide when a camera system should integrate during the typical 33 ms framerate. Having control over when to integrate and for how long allows for greater signal-to-noise ratios (SNRs) at smaller jitters by selecting times when jitter is minimized based on the LOS motion. This work presents the framework of a jitter mitigation approach that both optimally decides on the integration window and implements non-blind deconvolution to produce a system that provides enhanced image resolution under a variety of conditions

Conference Presentation

Citation Download Citation

Drew DeJarnette, Patrick Mickel, and Jason Paxton "Non-blind hardware and software deconvolution for jitter reduction", Proc. SPIE 12523, Computational Imaging VII , 125230D (13 June 2023); https://doi.org/10.1117/12.2660426

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available