Provided by: fitspng_1.3-1_amd64 bug

NAME

       fitspng - FITS to PNG converter.

SYNOPSIS

       fitspng [options] file

DESCRIPTION

       Fitspng  is  an  utility  intended  to  convert  of  images in astronomical FITS format to
       computer graphics PNG format.

       The primary goal of fitspng is to transform of  the  high  dynamic  images  to  a  limited
       numerical  range  of  PNG  format. The transformation uses global tone mapping by a set of
       tone functions with machine estimated or user provided scaling parameters.

       The detailed description can be found at homepage: http://integral.physics.muni.cz/fitspng

OPTIONS

       -f [linear|asinh|log|gamma|normal|sqrt|sqr|logistic|atan]
              Scale output intensities by specified profile: linearly, asinh, log, gamma  (as  in
              sRGB),  normal  (Gauss  cumulative distribution function [5]), square root, square,
              logistic (emulating classical photography sensitivity [6]), atan and ratio (x/1+x).

       -f0 f  Specifies scale of output profile: f*Func(i).

       -fz z  Specifies zero (black level) of output profile: Func(i) + z.

       -fr u,v
              Output intensities, in case of colour depth 8  bites,  are  scaled  according  this
              formula:  (output  intensities) = Func((input intensities - (med - u*mad))/(mad/v))
              where med is median of every 10 pixel  in  the  image,  mad  is  mean  of  positive
              deviations  from the median of every 10 pixel (same frequency). If the pixel is out
              of level range from 0 to 255, than value is replaced by  0  and  255  respectively.
              The default is u = 3, v = 1/3.

       -fl t,s
              Output  intensities,  in  case  of  colour depth 8 bites, are scaled according this
              formula: (output  intensities)  =  Func((input  intensities  -  t)/s).   The  setup
              completely disable internal parameter estimation.

       -fs x  The colour saturation is multiplied by the given ratio (for colour FITS only).

       -fw x,y
              Set coordinates of white point.

       -fn st,ss
              When used, switch-on mode which emulates humans night vision. It is useful only for
              colour FITS.

       -cs sRGB or AdobeRGB
              Select the colour-space of output image.

       -s s   Scale down the size of image by the specified factor s  as  a  (non-zero)  positive
              integer  number. If the s factor is greater of one, any output pixel is constructed
              as the arithmetical mean of s*s input pixels.

       -o     Output image name. Default value is fitspng.png.

       -B [8|16]
              8 bites per pixel of colour (grey) depth of output. This is default.  16 bites  per
              pixel of colour (grey) depth of output. There is frequently problem with additional
              rendering. Most of utilities doesn't work with this colour depth correctly. On  the
              other side, 16 bit per pixel images has saved photometric content more precisely.

       -v     Print additional info during processing.

       --help Show summary of options.

       --version
              Display software version.

EXAMPLES

       Convert an image from FITS to PNG:
           $ fitspng grey.fits -o grey.png

       Emulate human's night vision:
           $ fitspng colour.fits -o colour.png -fn 100,10

       Emulate classical photography sensitivity function (density curve):
           $ fitspng colour.fits -o colour.png -f logistic

       Create semi-grey image:
           $ fitspng colour.fits -o colour.png -fs 0.2

       Select the specified band from colour FITS (with help of FITS file name extension):
           $ fitspng colour.fits[3] -o green.png

       Create thumbnails:
           bash$ for A in *.fits; do fitspng -s 10 $A -o ${A%fits}png; done

AUTHOR

       Filip Hroch <hroch@physics.muni.cz>

SEE ALSO

       rawtran(1)

       [1] http://integral.physics.muni.cz/fitspng

       [2] http://munipack.physics.muni.cz/

       [3] http://integral.physics.muni.cz/rawtran