  To study the role of protosellar jets and outflows in the time evolution of
the parent cores and the protostars, the astronomical community needs a large
enough data base of infrared images of protostars at the highest spatial
resolution possible, to reveal the details of their morphology. Spitzer
provides unprecedented sensitivity in the infrared to study both the jet and
outflow features, however its spatial resolution is limited by its 0.85m
mirror. Here we use a high resolution deconvolution algorithm, "HiRes", to
improve the visualization of spatial morphology by enhancing resolution (to
sub-arcsecond levels in the IRAC bands) and removing the contaminating
sidelobes from bright sources in a sample of 89 protostellar objects. These
reprocessed images are useful to detect: (i) wide angle outflow seen in
scattered light; (ii) morphological details of H2 emission in jets and bow
shocks; and (iii) compact features in MIPS 24 micron images as protostar/ disk
and atomic/ionic line emissions associated with the jets. The HiRes fits image
data of such a large homogeneous sample presented here will be useful to the
community in studying these protostellar objects. To illustrate the utility of
this HiRes sample, we show how the opening angle of the wide angle outflows in
31 sources, all observed in the HiRes processed Spitzer images, correlates with
age. Our data suggest a power law fit to opening angle versus age with an
exponent of ~0.32 and 0.02, respectively for ages less than 8000 yr and greater
than 8000 yr.
