Paper
29 July 2016 Hi-fidelity multi-scale local processing for visually optimized far-infrared Herschel images
G. Li Causi, E. Schisano, S. J. Liu, S. Molinari, A. Di Giorgio
Author Affiliations +
Abstract
In the context of the “Hi-Gal” multi-band full-plane mapping program for the Galactic Plane, as imaged by the Herschel far-infrared satellite, we have developed a semi-automatic tool which produces high definition, high quality color maps optimized for visual perception of extended features, like bubbles and filaments, against the high background variations. We project the map tiles of three selected bands onto a 3-channel panorama, which spans the central 130 degrees of galactic longitude times 2.8 degrees of galactic latitude, at the pixel scale of 3.2”, in cartesian galactic coordinates. Then we process this image piecewise, applying a custom multi-scale local stretching algorithm, enforced by a local multi-scale color balance. Finally, we apply an edge-preserving contrast enhancement to perform an artifact-free details sharpening. Thanks to this tool, we have thus produced a stunning giga-pixel color image of the far-infrared Galactic Plane that we made publicly available with the recent release of the Hi-Gal mosaics and compact source catalog.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Li Causi, E. Schisano, S. J. Liu, S. Molinari, and A. Di Giorgio "Hi-fidelity multi-scale local processing for visually optimized far-infrared Herschel images", Proc. SPIE 9904, Space Telescopes and Instrumentation 2016: Optical, Infrared, and Millimeter Wave, 99045V (29 July 2016); https://doi.org/10.1117/12.2233241
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KEYWORDS
Image processing

Visualization

Panoramic photography

Calibration

Galactic astronomy

Image enhancement

Visibility

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