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Image Processing Application for Cognition (IPAC) - Traditional and Emerging Topics in Image Processing in Astronomy

Pesenson, Meyer and Roby, William and Helou, George and McCollum, Bruce and Ly, Loi and Wu, Xiuqin and Laine, Seppo and Hartley, Booth (2008) Image Processing Application for Cognition (IPAC) - Traditional and Emerging Topics in Image Processing in Astronomy. In: Astronomical Data Analysis Software and Systems XVII. ASP Conference Series. No.394. Astronomical Society of the Pacific , San Francisco, CA, pp. 97-106. ISBN 978-1-58381-658-5. https://resolver.caltech.edu/CaltechAUTHORS:20100722-092800249

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Abstract

A new application framework for advanced image processing for astronomy is presented. It implements standard two-dimensional operators, and recent developments in the field of non-astronomical image processing (IP), as well as original algorithms based on nonlinear partial differential equations (PDE). These algorithms are especially well suited for multi-scale astronomical images since they increase signal to noise ratio without smearing localized and diffuse objects. The visualization component is based on the extensive tools that we developed for Spitzer Space Telescope’s observation planning tool Spot and archive retrieval tool Leopard. It contains many common features, combines images in new and unique ways and interfaces with many astronomy data archives. Both interactive and batch mode processing are incorporated. In the interactive mode, the user can set up simple processing pipelines, and monitor and visualize the resulting images from each step of the processing stream. The system is platform-independent and has an open architecture that allows extensibility by addition of plug-ins. This presentation addresses astronomical applications of traditional topics of IP (image enhancement, image segmentation) as well as emerging new topics like automated image quality assessment (QA) and feature extraction, which have potential for shaping future developments in the field. Our application framework embodies a novel synergistic approach based on integration of image processing, image visualization and image QA (iQA).


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://www.aspbooks.org/a/volumes/article_details/?paper_id=28979PublisherArticle
ORCID:
AuthorORCID
Helou, George0000-0003-3367-3415
Laine, Seppo0000-0003-1250-8314
Additional Information:© 2008 Astronomical Society of the Pacific. M. Pesenson would like to thank W. Reach, A. Noriega-Crespo, J. Chavez, J. Ingalls and S. Carey for helpful discussions. The authors would also like to thank R. Molloy and S. Tyler for helpful discussions. This work is based on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA.
Group:Infrared Processing and Analysis Center (IPAC)
Funders:
Funding AgencyGrant Number
NASA/JPL/CaltechUNSPECIFIED
Series Name:ASP Conference Series
Issue or Number:394
Record Number:CaltechAUTHORS:20100722-092800249
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20100722-092800249
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:19155
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:02 Aug 2010 02:49
Last Modified:13 Nov 2019 23:41

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