NAME

       mPad - None

SYNOPSIS

         mPad [-nowcs][-d level][-val NaN-value][-bar xmin xmax ymin ymax histfile]
              in.fits out.fits left right top bottom

DESCRIPTION

         Occasionally we want to pad the border of an image so that there is room for annotation,
         a color bar, or just for visual effect.  mPad does this and if a color bar is desired
         it adds one (wherever the user specifies, which might be in the pad or might be over
         the image).

         The pad around the edges is filled with NULLS (which will be rendered the same as the
         minimum in the color table but mJPEG/mViewer).  However the user can optionally have
         NULLs translated to another value with the "-val" argument.

OPTIONS

       -nowcs

                If  the  image  has  WCS  values  in  the  header,  these  need to be adjusted to
              compensate
                for the padding.  This flag is used to tell the software that the image does not
                contain WCS keywords so not to try.

       -d level

                Set debugging level (default none)

       -val NaN-value

                Value to which NULL pixels should be converted.

       -bar xmin xmax

              ymin ymax

              histfile

                Adding a color bar as part of the image is a little trickier  than  it  might  at
              first
                seem.

                A color bar is a rectangular region of pixels whose data values are set so that
                it  gives  the  impression  of  the lookup-table used to render the image.  To do
              this,
                we need the image histogram that mViewer (or whatever renderer) would use when
                displaying the data.

                The easiest way to do this is to 1) use mHistogram to generate  the  stretchl  2)
              use
                mPad  to  add  the  pixel array (usually in a pad added around the outside of the
              image(;
                and 3) use mViewer with the same pre-build histogram to render the image.

ARGUMENTS

       in.fits

                Original FITS image.

       out.fits

                Padded FITS image.

       left right top bottom

                Number of pixels with which to pad the four sides of the image.

RESULT

         If successful, the result is a new image almost identical to the original
         but padded around the edges and possibly containing an embedded color bar.
         When sent to mViewer, that tool can optionally add annotation to the
         bar.

MESSAGES

       ERROR  No debug level given

       ERROR  Debug level string is invalid: 'badstring'

       ERROR  Debug level value cannot be negative

       ERROR  Not enough information given to draw color bar

       ERROR  Bar X min string is invalid: 'badstring'

       ERROR  Bar X max string is invalid: 'badstring'

       ERROR  Bar Y min string is invalid: 'badstring'

       ERROR  Bar Y max string is invalid: 'badstring'

       ERROR  Cannot open histogram file badfile

       ERROR  No value given for NaN conversion

       ERROR  NaN conversion value string is invalid: 'badstring'

       ERROR  FITS library error

       ERROR  general error message

EXAMPLES

       (mHistogram -file SDSS_r.fits -2s max gaussian-log -out SDSS_r.hist)

                    mPad -bar -100 -50 50 -50 SDSS_r.hist SDSS_r.fits  sdss.fits  50  250  50  50
              [struct stat="OK"]

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.