NAME

       mJPEG - Convert FITS images or mosaics into grayscale or color JPEG images

SYNOPSIS

       mJPEG [-d] [-t power] [-s statusfile] [-ct color-table]

       [-gray in.fits minrange maxrange [logpower/gaussian]

       [-red red.fits rminrange rmaxrange [rlogpower/gaussian]

       [-green green.fits gminrange gmaxrange [glogpower/gaussian]

       [-blue blue.fits bminrange bmaxrange [blogpower/gaussian]

       -out out.jpg

DESCRIPTION

       Generates  a  JPEG image file from a FITS file (or a set of three FITS files in color).  A
       data range for each image can be defined, and the data can be stretched by  any  power  of
       the  log() function (including zero: linear).  Pseudo-color color tables can be applied in
       single-image mode.

       Note: If creating a true color image, all input images must have identical WCS information
       (ie, same size, resolution, coordinate system, etc).

OPTIONS

       -d     Print out additional debugging information

       -t power
              Increasing the value of power will enhance the contrast between colors; useful when
              all pixels are close to white, but you wish to accentuate the color difference.

       -s statusfile
              Write output and errors to statusfile instead of stdout

       -ct color-table
              Choose a color table for pseudo-color images; color-table can be an integer between
              0 and 11.  Click here for samples of each color table.

ARGUMENTS

       mJPEG  takes  as  arguments  a  list  of  FITS images to be used as input for the true- or
       pseudo-color image.  To create a pseudo-color image from a single FITS file, use the -gray
       flag;  to  create a true-color image, use the -red, -green, and -blue flags together.  The
       syntax for each is the same:

       -color Provide the image name and stretch information  to  be  used  for  color  (one  of:
              "gray", "red", "green", "blue")

       color.fits
              Filename  of  input  image  for  this  color.  Can use a specific FITS extension by
              including it as: "filename.fits[X]", where X is the HDU number.

       minrange maxrange
              Lower/upper pixel values to use when stretching the image.  Can also  be  expressed
              as a percentage, a sigma value, or any combination of these three.  Some examples:

                  0 100
                  0s 99.999%
                  -1s 1s

       logpower/gaussian
              Specify  a  log power to use in stretching the image.  Can be a positive integer or
              one of:

                    log
                    loglog
                    linear (default)

       -out out.jpg
              Path to the output JPEG image

RESULT

       The output message includes stretch information from the creation of the JPEG:

       Psuedo-color (gray input only):

       [struct stat="OK", min=datamin, minpercent=minfrac, max=datamax, maxpercent=maxfrac]

       Three-color (red/green/blue inputs):

         [struct     stat="OK",     bmin=bdatamin,      bminpercent=bminfrac,      bmax=bdatamax,
       bmaxpercent=bmaxfrac,       gmin=gdatamin,       gminpercent=gminfrac,      gmax=gdatamax,
       gmaxpercent=gmaxfrac,      rmin=rdatamin,       rminpercent=rminfrac,       rmax=rdatamax,
       rmaxpercent=rmaxfrac]

EXAMPLES

       To create a grayscale image from a FITS file:

       $ mJPEG -ct 1 -gray SINGS_B.fits 0s 99.999% gaussian -out SINGS_B.jpg
              [struct stat="OK", min=0.391706, minpercent=50.00, max=136.555, maxpercent=100.00]

       Output grayscale JPEG:

       To create a true 3-color image from three input images:

       $ mJPEG -t 2 -blue SINGS_B.fits 0s 99.999% gaussian

              -green SINGS_R.fits 0s 99.999% gaussian

              -red SINGS_I.fits 0s 99.999% gaussian

              -out   SINGS_3color.jpg   [struct   stat="OK",   bmin=0.391706,  bminpercent=50.00,
              bmax=136.555, bmaxpercent=100.00,  gmin=2.98851,  gminpercent=50.00,  gmax=366.148,
              gmaxpercent=100.00,       rmin=4.26902,       rminpercent=50.00,      rmax=295.179,
              rmaxpercent=100.00]

BUGS

       The drizzle algorithm has been implemented but has not been tested in this release.

       If a header template contains  carriage  returns  (i.e.,  created/modified  on  a  Windows
       machine),  the cfitsio library will be unable to read it properly, resulting in the error:
       [struct stat="ERROR", status=207, msg="illegal character in keyword"]

       It is best for the background correction algorithms if the area described  in  the  header
       template  completely encloses all of the input images in their entirety. If parts of input
       images are "chopped off" by  the  header  template,  the  background  correction  will  be
       affected.  We  recommend  you  use  an expanded header for the reprojection and background
       modeling steps, returning to the originally desired header size for the final  coaddition.
       The default background matching assumes that there are no non-linear background variations
       in the individual images (and therefore in the  overlap  differences).  If  there  is  any
       uncertainty  in  this  regard, it is safer to turn on the "level only" background matching
       (the "-l" flag in mBgModel.

COPYRIGHT

       2001-2015 California Institute of Technology, Pasadena, California

       If your research  uses  Montage,  please  include  the  following  acknowledgement:  "This
       research  made use of Montage. It is funded by the National Science Foundation under Grant
       Number ACI-1440620, and was previously  funded  by  the  National  Aeronautics  and  Space
       Administration's  Earth Science Technology Office, Computation Technologies Project, under
       Cooperative Agreement Number  NCC5-626  between  NASA  and  the  California  Institute  of
       Technology."

       The  Montage  distribution  includes an adaptation of the MOPEX algorithm developed at the
       Spitzer Science Center.