Dr. David Makovoz Profile

Dr. David Makovoz

Chief Engineer at Caltech

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Publications (6)

Proceedings Article | 27 June 2006 Paper

MOPEX: a software package for astronomical image processing and visualization

David Makovoz, Trey Roby, Iffat Khan, Hartley Booth

Proceedings Volume 6274, 62740C (2006) https://doi.org/10.1117/12.672536

KEYWORDS: Image processing, Visualization, Astronomy, Space telescopes, Image visualization, Software development, Human-machine interfaces, Switches, Image processing software, Image display

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We present MOPEX - a software package for astronomical image processing and display. The package is a combination of command-line driven image processing software written in C/C++ with a Java-based GUI. The main image processing capabilities include creating mosaic images, image registration, background matching, point source extraction, as well as a number of minor image processing tasks. The combination of the image processing and display capabilities allows for much more intuitive and efficient way of performing image processing. The GUI allows for the control over the image processing and display to be closely intertwined. Parameter setting, validation, and specific processing options are entered by the user through a set of intuitive dialog boxes. Visualization feeds back into further processing by providing a prompt feedback of the processing results. The GUI also allows for further analysis by accessing and displaying data from existing image and catalog servers using a virtual observatory approach. Even though originally designed for the Spitzer Space Telescope mission, a lot of functionalities are of general usefulness and can be used for working with existing astronomical data and for new missions. The software used in the package has undergone intensive testing and benefited greatly from effective software reuse. The visualization part has been used for observation planning for both the Spitzer and Herschel Space Telescopes as part the tool Spot. The visualization capabilities of Spot have been enhanced and integrated with the image processing functionality of the command-line driven MOPEX. The image processing software is used in the Spitzer automated pipeline processing, which has been in operation for nearly 3 years. The image processing capabilities have also been tested in off-line processing by numerous astronomers at various institutions around the world. The package is multi-platform and includes automatic update capabilities. The software package has been developed by a small group of software developers and scientists at the Spitzer Science Center. It is available for distribution at the Spitzer Science Center web page.

Proceedings Article | 2 February 2006 Paper

Mosaicking of astronomical images with MOPEX

David Makovoz, Iffat Khan, Frank Masci

Proceedings Volume 6065, 606514 (2006) https://doi.org/10.1117/12.643521

KEYWORDS: Image registration, Astronomy, Image processing, Point spread functions, Space telescopes, Image interpolation, Image quality, Sensors, Distortion, Detection and tracking algorithms

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Proceedings Article | 16 September 2005 Paper

Estimation of the point response function for undersampled data for the infrared camera of the Spitzer Space Telescope

David Makovoz, Patrick Lowrance

Proceedings Volume 5909, 590922 (2005) https://doi.org/10.1117/12.617953

KEYWORDS: Point spread functions, Space telescopes, Detector arrays, Image quality, Infrared cameras, Sensors, Infrared telescopes, Error analysis, Infrared imaging, Image processing

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Proceedings Article | 15 September 2005 Paper

Astronomical point-source detection based on nonlinear image filtering with partial differential equations

M. Pesenson, D. Makovoz, W. Reach, J. Rho, R. Laher

Proceedings Volume 5913, 591323 (2005) https://doi.org/10.1117/12.615507

KEYWORDS: Nonlinear filtering, Image filtering, Diffusion, Image processing, Image segmentation, Space telescopes, Astronomy, Partial differential equations, Galactic astronomy, Device simulation

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Proceedings Article | 1 March 2005 Paper

Nonlinear matched filtering for point source detection

David Makovoz

Proceedings Volume 5672, (2005) https://doi.org/10.1117/12.587283

KEYWORDS: Nonlinear filtering, Image filtering, Linear filtering, Signal to noise ratio, Electronic filtering, Astronomy, Sensors, Space telescopes, Gaussian filters, Optimal filtering

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Proceedings Article | 12 October 2004 Paper

Normal and unusual transient events in IRAC images

Brian Patten, Joseph Hora, Giovanni Fazio, Pauline Barmby, Zhong Wang, David Makovoz

Proceedings Volume 5487, (2004) https://doi.org/10.1117/12.550543

KEYWORDS: Sensors, Particles, Cameras, Solar processes, Comets, Space telescopes, Infrared telescopes, Infrared cameras, Telescopes, Infrared detectors

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Showing 5 of 6 publications

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