Provided by: libcfitsio-bin_4.2.0-3_amd64 bug

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).