Paper
7 May 2017 Enhancement of DARPA SRVS data with a real-time commercial turbulence mitigation software
Author Affiliations +
Abstract
Modern digital imaging systems are susceptible to degraded imagery because of atmospheric turbulence. Notwithstanding significant improvements in resolution and speed, significant degradation of captured imagery still hampers system designers and operators. Several techniques exist for mitigating the effects of the turbulence on captured imagery, we will concentrate on the effects of Bi-Spectrum Speckle Averaging [1], [2] approach to image enhancement, on a data-set captured in-conjunction with meteorological data.
© (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ariel Sherman, Richard L. Espinola, Stephen Kozacik, Aaron Paolini, and Eric Kelmelis "Enhancement of DARPA SRVS data with a real-time commercial turbulence mitigation software", Proc. SPIE 10204, Long-Range Imaging II, 102040E (7 May 2017); https://doi.org/10.1117/12.2263832
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KEYWORDS
Image processing

Turbulence

Image quality

Atmospheric turbulence

Image sensors

Imaging systems

Modulation

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