Dr. Joseph L. Stufflebeam Profile

Dr. Joseph L. Stufflebeam

Engineer at NewTec

SPIE Involvement:

Author

Proceedings Article | 11 May 2018 Presentation + Paper

Exploring mitigation of image blur due to atmospheric turbulence by utilizing multiple sensors to achieve optical path diversity

Thomas Underwood, Joe Stufflebeam, David Soules, Mark Kircher, Mark Roberts, Joachim Lohn-Jaramillo, Geoff Knox, Jason Shankle

Proceedings Volume 10650, 1065005 (2018) https://doi.org/10.1117/12.2309412

KEYWORDS: Cameras, Atmospheric turbulence, Missiles, Turbulence, Sensors, Atmospheric optics, Multiplexing, Image sensors, Image quality, Software development

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Many atmospheric turbulence deblurring techniques estimate an inverse filter by making assumptions that constrain the mathematical spaces in which an unknown signal and convolving function must reside. Restoration of scene content after imaging through terrestrial imaging paths is an area of active experimentation and development for both real-time feature extraction and post-process data reduction. Static scenes present opportunities for algorithms that exploit the temporal diversity of the atmospheric path since motion of scene content at the image plane over multiple frames may be attributed to a randomly varying blur kernel. This allows for the estimation of inverse filters that can be used to deblur the image. However, when objects in the scene move relative to one another across multiple image frames it complicates an already computationally demanding process. Techniques to compensate for the motion of one or more features can be used, but if the image fidelity is insufficient to detect a moving feature in the first place or the number of features (e.g. fragmentation from an impact or explosion) is very large, motion compensation techniques may break down or become impractical. In this paper we explore using multiple, synchronized optical systems with sufficient spatial separation to provide the optical path turbulence diversity required by many deblurring algorithms. This reduces or eliminates many constraints on object motion when performing reconstructions. We present deblurred imagery examples from an experimental setup that leverages spatially diverse, optical path turbulence and compare the results with the traditional approach of utilizing single path, temporal diversity when performing image reconstructions. Our results demonstrate that: (1) useful deblurring is possible with a single “set” of images simultaneously collected through diverse optical paths, (2) a combination of temporal and spatial diversity of image collection can be a useful “hybrid” approach, and (3) opportunistic weighting of concurrent frames according to image quality can enhance the deblurring results.

Proceedings Article | 27 July 2004 Paper

Development of a feed-forward controller for a tracking telescope

John Allen, Joseph Stufflebeam, Dan Feller

Proceedings Volume 5430, (2004) https://doi.org/10.1117/12.541646

KEYWORDS: Space telescopes, Telescopes, Control systems, Missiles, Video, Mathematical modeling, Servomechanisms, Data modeling, Analog electronics, Computer programming

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Proceedings Article | 19 July 2004 Paper

Ultra-high speed and low latency broadband digital video transport

Joseph Stufflebeam, Dennis Remley, Anthony Sullivan, Hector Gurrola

Proceedings Volume 5441, (2004) https://doi.org/10.1117/12.542716

KEYWORDS: Video, Video compression, Cameras, Frame grabbers, Analog electronics, Imaging systems, Networks, Human-machine interfaces, Digital cameras, Interfaces

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Proceedings Article | 6 August 2003 Paper

Target tracking via real-time adaptive correlation

Joseph Stufflebeam, Dennis Remley, Brad King

Proceedings Volume 5106, (2003) https://doi.org/10.1117/12.485871

KEYWORDS: Image segmentation, Detection and tracking algorithms, Image processing, Infrared imaging, Algorithm development, Digital signal processing, Feature extraction, Missiles, Software development, Target detection

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Proceedings Article | 26 May 1995 Paper

Optimal tracking algorithm: a DSP approach

Fred Salvatti, Sy Meshkat, Joseph Stufflebeam

Proceedings Volume 2468, (1995) https://doi.org/10.1117/12.210450

KEYWORDS: Digital signal processing, Control systems, Linear filtering, Detection and tracking algorithms, Missiles, Servomechanisms, Optical tracking, Analog electronics, Filtering (signal processing), Feedback control

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Proceedings Article | 26 May 1995 Paper

Tracking and data collection of smart munitions

Joseph Stufflebeam, Fred Salvatti

Proceedings Volume 2468, (1995) https://doi.org/10.1117/12.210424

KEYWORDS: Cameras, Sensors, Computer programming, Servomechanisms, Video, Control systems, Digital signal processing, Calibration, Missiles, Optical tracking

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