Going Beyond RGB: How to Create Color Composite Images that Convey the Science

Details Going Beyond RGB: How to Create Color Composite Images that Convey the Science Going Beyond RGB: How to Create Color Composite Images that Convey the Science

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21520605r&link_type=abstract

American Astronomical Society, AAS Meeting #215, #206.05; Bulletin of the American Astronomical Society, Vol. 42, p.309

Astronomy and Astrophysics

Astronomy

Scientific paper

The quality of modern astronomical data and the agility of current image-processing software enable new ways to visualize data as images. Two developments in particular have led to a fundamental change in how astronomical images may be assembled. First, the availability of high-quality multiwavelength and narrowband data allow for images that do not correspond to the wavelength sensitivity of the human eye, thereby introducing ambiguity in the usage and interpretation of color. Second, many image-processing software packages now use a layering metaphor that allows for any number of astronomical datasets to be combined into a color composite image. Furthermore, any color may be assigned to each dataset, not just red, green or blue. With this technique, images with as many as eight datasets have been produced. Each dataset is intensity scaled and colorized independently, creating an immense parameter space that may be used to assemble the image. Since such images are intended for data visualization, scaling and color schemes must be chosen that best illustrate the science. I will demonstrate how color composite images can be assembled in Photoshow and GIMP. I will also give examples of how color can be effectively used to convey the science of interest.

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