MEDARR
Name
MEDARR
Purpose
Compute the median at each pixel across a set of 2-d images
Explanation
Each pixel in the output array contains the median of the
corresponding pixels in the input arrays. Useful, for example to
combine a stack of CCD images, while removing cosmic ray hits.
This routine has been mostly obsolete since V5.6 with the introduction
of the DIMENSION keyword to the intrinsic MEDIAN() function. However,
it is still useful for integer images if bad pixels need to be flagged
in a mask parameter. (For floating point images, it is much
faster to set invalid pixels to NaN values.)
Calling Sequence
MEDARR, inarr, outarr, [ mask, output_mask ]
Inputs
inarr -- A three dimensional array [Nx,Ny, N] containing the input
images. Each image is size Nx by Ny, and there are N
images.
Optional Input
mask -- Same structure as inarr, byte array with 1b where
pixels are to be included, 0b where they are to be
excluded. For floating point images, it is much faster to
set masked pixels in inarr equal to !VALUES.F_NAN (see below),
rather than use the mask parameter.
Outputs
outarr -- The output array. It will have dimensions equal to the
first two dimensions of the input array.
OPTIONAL OUPUT:
output_mask -- Same structure as outarr, byte array with 1b where
pixels are valid, 0b where all the input pixels
have been masked out.
Restrictions
This procedure is *SLOW* when using the Mask parameter because it has
to loop over each pixel of the image.
Example
Suppose one wants to combine three floating point 1024 x 1024 bias
frames which have been read into the IDL variables im1,im2,im3
IDL> bigim = fltarr(1024,1024,3) ;Create big array to hold images
IDL> bigim[0,0,0] = im1 & bigim[0,0,1] = im2 & bigim[0,0,2] = im2
IDL> medarr, bigim, avgbias
The variable avgbias will be the desired 1024x 1024 float image.
Procedure
If the MASK parameter is not set, then MEDARR is just a wrapper for
MEDIAN(/EVEN, dimension = 3). If the MASK parameter is set,
a scalar median function over the third dimension is looped over
each pixel of the first two dimensions. The /EVEN keyword is used
with MEDIAN (which averages the two middle values), since this avoids
biasing the output for an even number of images.
Any values set to NAN (not a number) are ignored when computing the
median. If all values for a pixel location are NAN, then the median
is also returned as NAN.
Modification History
Written by Michael R. Greason, STX, 12 June 1990.
Don't use MEDIAN function for even number of images.
W. Landsman Sep 1996
Mask added. RS Hill, HSTX, 13 Mar. 1997
Converted to IDL V5.0 W. Landsman September 1997
Use /EVEN keyword to MEDIAN W. Landsman September 1997
Rearranged code for faster execution W. Landsman January 1998
Faster execution for odd number of images W. Landsman July 2000
V5.4 fix for change in SIZE() definition of undefined variable
W. Landsman/E. Young May 2001
Use MEDIAN(/DIMEN) for V5.6 or later W. Landsman November 2002
Use keyword_set() instead of ARG_present() to test for presence of mask
parameter D. Hanish/W. Landsman June 2003
Assume since V5.6 W. Landsman Feb 2004