xenial (1) imcopy.1.gz

NAME

       imcopy -  copies FITS images.

SYNOPSIS

       imcopy inputImage outputImage[compress]

DESCRIPTION

       Copy an input image to an output image, optionally compressing or uncompressing the image in the process.
       If the [compress] qualifier is appended to the output file name then the input image will  be  compressed
       using  the  tile-compressed format.  In this format, the image is divided into rectangular tiles and each
       tile of pixels is compressed and stored in a variable-length row of a binary table.   If  the  [compress]
       qualifier  is  omitted,  and  the input image is in tile-compressed format, then the output image will be
       uncompressed.

       If an extension name or number is appended to the input file name, enclosed in square brackets, then only
       that  single  extension  will be copied to the output file.  Otherwise, every extension in the input file
       will be processed in turn and copied to the output file.

       The full syntax of the compression qualifier is:

              [compress ALGORITHM TDIM1,TDIM2,...; NOISE_BITS]

       where the allowed ALGORITHM values are Rice, GZIP, PLIO, and TDIMn is the size of the compression tile in
       each  dimension,  and  NOISE_BITS  =  1,  2,  3,  or  4 and controls the amount of noise suppression when
       compressing floating point images.

       Note that it may be necessary to enclose the file names in single quote characters on  the  Unix  command
       line.

EXAMPLES

       1)  imcopy image.fit 'cimage.fit[compress]'

              This  compresses  the  input  image using the default parameters, i.e., using the Rice compression
              algorithm and using row by row tiles.

       2)  imcopy cimage.fit image2.fit

              This uncompress the image created in  the  first  example.   image2.fit  should  be  identical  to
              image.fit  if  the  image  has  an integer datatype.  There will be small differences in the pixel
              values if it is a floating point image.

       3)  imcopy image.fit 'cimage.fit[compress GZIP 100,100;4]'

              This compresses the input image using the following parameters:

              GZIP compression algorithm; 100 X 100 pixel compression tiles; noise_bits  =  4  (only  used  with
              floating point images)

SEE ALSO

       fitscopy(1).