Alpha version, bugs are possible, use at your own risk.

• March 2023: C# port by Frank Hileman available here: https://github.com/FrankHileman/MedianFilter2D

You can use "mf2d" to process 32-bit and 64-bit FITS images, both 1-dimensional and 2-dimensional.

Usage:

bin/mf2d radius input output-median output-difference

Example:

bin/mf2d 15 example/test-1.fits a.fits b.fits

"Radius" is the window radius in pixels. For example, a radius of 15 in a 2D image means a window of 31x31 pixels in total.

"Input" is a FITS file, 1 or 2 dimensions, 32-bit or 64-bit floating point values.

"Output-median" will be a FITS file that contains the result of median filtering.

"Output-difference" will be another FITS file that contains the difference between "input" and "output-median".

All file names are given in a format supported by the cfitsio library. In particular, prefix the output file names with an exclamation mark if you want to overwrite existing files:

bin/mf2d 15 example/test-1.fits '!a.fits' '!b.fits'

You can also filter just a small part of a large image:

bin/mf2d 15 'example/test-1.fits[1:100,1:200]' a.fits b.fits

You can use this software as a subroutine to filter 1-dimensional and 2-dimensional arrays of floating point values.

You will only need filter.cc and filter.h; you do not need any additional libraries.

See filter.h for the interface, and mf2d-unittest.cc for simple examples.

Some examples of typical running times on my Macbook Air laptop (1.7 GHz Intel Haswell, 2 cores, 4 threads):

• less than 0.2s in total:

  bin/mf2d 10 example/test-1.fits '!a.fits' '!b.fits'
  

• less than 0.4s in total:

  bin/mf2d 40 example/test-1.fits '!a.fits' '!b.fits'
  

• less than 0.6s in total:

  bin/mf2d 80 example/test-1.fits '!a.fits' '!b.fits'
  

• less than 0.8s in total:

  bin/mf2d 120 example/test-1.fits '!a.fits' '!b.fits'
  

The sample file is 1024x1024 pixels, 32-bit floats.

Missing values (NaNs) are treated as missing values. For example, the median of [x, y, NaN, z] is the same as the median of [x, y, z]. In the output, there is a NaN if and only if the entire window is empty (only NaNs).

Boundaries are handled by clipping the sliding window to image boundaries. For example, while middle parts of the output will be medians of (2r+1) x (2r+1) boxes, the corners of the output will be medians of (r+1) x (r+1) boxes.

In the middle parts, the window always contains an odd number of pixels, and hence the median is unique. Near the boundaries we may have an even number of pixels in the window; in those cases we will output the average of the two middle values.

The total image size has to be less than 2^31 pixels.

Install cfitsio first (see below for details). Then compile mf2d as follows, depending on your platform.

Compile:

compile/gcc-linux.sh

Test:

test/test.sh

Compile:

compile/gcc-linux.sh

Test:

test/test.sh

You can get GCC 4.9 from Homebrew:

brew install gcc

Set CXX to point to the right compiler:

export CXX=g++-4.9

Compile:

compile/gcc-osx.sh

Test:

test/test.sh

(Not recommended: slow, will not use OpenMP.)

Compile:

compile/clang-osx.sh

Test:

test/test.sh

See util/build-setup and util/build-all.

To compile the command-line tool, you will need cfitsio. On OS X, you can use Homebrew:

brew install cfitsio

On Ubuntu Linux, you can try:

apt-get install libcfitsio3-dev

Alternatively, you can download the source from http://heasarc.gsfc.nasa.gov/fitsio/fitsio.html and compile and install it e.g. as follows:

./configure --prefix=$HOME/opt
make
make install

If you use a nonstandard location, set the paths accordingly so that the compiler and linker can find it:

export CPATH=$HOME/opt/include
export LIBRARY_PATH=$HOME/opt/lib

Tested on the following platforms:

• OS X 10.10
• Ubuntu 12.04
• Ubuntu 14.04

With e.g. the following compilers:

• GCC 4.4, 4.6, 4.7, 4.8, 4.9
• ICC 13.0, 14.0, 15.0
• Apple LLVM version 6.0

Using the following libraries:

• cfitsio 3.370

Copyright (c) 2014, Jukka Suomela.

You can distribute and use this software under the MIT license: http://opensource.org/licenses/MIT

To contact the author, see https://jukkasuomela.fi/

Test data contributed by Jean-Eric Campagne.