  We present a new, and we believe arguably correct, algorithm for producing
Red-Green-Blue (RBG) composites from 3-band astronomical images. Our method
ensures that an object with a specified astronomical color (e.g. g-r and r-i)
has a unique color in the RGB image, as opposed to the burnt-out white stars to
which we are accustomed. A natural consequence of this is that we can use the
same colors to code color-magnitude diagrams, providing a natural `index' to
our images. We also introduce the use of an asinh stretch, which allows us to
show faint objects while simultaneously preserving the structure of brighter
objects in the field, such as the spiral arms of large galaxies. We believe
that, in addition to their aesthetic value, our images convey far more
information than do the traditional ones, and provide examples from Sloan
Digital Sky Survey (SDSS) imaging, the Hubble Deep Field (HDF), and Chandra to
support our claims. More examples are available at
http://www.astro.princeton.edu/~rhl/PrettyPictures
