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NAME

       pngnq - quantize png images

SYNOPSIS

       pngnq  [-vfhV][-s  sample_factor  ][-Q dither ][-g gamma ][-e extension
       ][-d dir ][-n colors ][ inputfiles ]

DESCRIPTION

       pngnq quantizes a 32-bit RGBA PNG image to an 8 bit  RGBA  palette  PNG
       using  the  neuquant  algorithm. The output file name is the input file
       name extended with "-nq8.png" or a specified extension.

OPTIONS

       -v     Verbose mode. Prints status messages.

       -f     Force overwriting of files.

       -s sample factor
              Sample factor. The neuquant algorithm samples pixels stepping by
              this  value.   The default value of 3 gives good results. Higher
              values sample less of the image pixels and thus are  faster  but
              less accurate. A factor of 1 samples every image pixel.

       -n colors
              Specifies  the  number of colors to quantize to. Defaults to 256
              which is the maximum.  The minimum here is 2.

       -Q dither
              Choose a dithering method: n = no dither (default),  f  =  Floyd
              Steinberg dithering.

       -g gamma
              Set  the  image  gamma  correction. If not present, uses the png
              file’s gamma or defaults to 1.0.

       -e extension
              Specifies the new filename extension.  Defaults  to  "-nq8.png".
              Pngnq  drops  .png  from  the original filenames. If you set the
              argument of the -e option to .png and choose the -f  option  the
              input file will be overwritten.

       -d dir Tells  pngnq  to  put output files in a directory other than the
              one the input files are in.

       input files
              The png files to be processed. Defaults to standard input if not
              specified.   If  standard input is being processed the output is
              sent to standard output.

       -h     Print program help.

       -V     Print version number and library versions.

BUGS

       Does not deal correctly  with  greyscale  alpha  images  with  low  bit
       depths, but these wont benefit from quantizing.

AUTHOR

       Stuart Coyle <stuart.coyle@gmail.com>

SEE ALSO

       png(5)