  We describe a case study to use the Montage image mosaic engine to create
maps of the ALLWISE image data set in the Hierarchical Progressive Survey
(HiPS) sky-tesselation scheme. Our approach demonstrates that Montage reveals
the science content of infrared images in greater detail than has hitherto been
possible in HiPS maps. The approach exploits two unique (to our knowledge)
characteristics of the Montage image mosaic engine: background modeling to
rectify the time variable image backgrounds to common levels; and an adaptive
image stretch to present images for visualization. The creation of the maps is
supported by the development of four new tools that when fully tested will
become part of the Montage distribution. The compute intensive part of the
processing lies in the reprojection of the images, and we show how we optimized
the processing for efficient creation of mosaics that are used in turn to
create maps in the HiPS tiling scheme. We plan to apply our methodology to
infrared image data sets such a those delivered by Spitzer, 2MASS, IRAS and
Planck.
