Provided by: libtiff-tools_4.0.6-1ubuntu0.8_amd64 bug

NAME

       raw2tiff - create a TIFF file from a raw data

SYNOPSIS

       raw2tiff [ options ] input.raw output.tif

DESCRIPTION

       raw2tiff  converts  a  raw byte sequence into TIFF.  By default, the TIFF image is created
       with data samples packed (PlanarConfiguration=1), compressed with the  PackBits  algorithm
       (Compression=32773),  and with each strip no more than 8 kilobytes.  These characteristics
       can overridden, or explicitly specified with the options described below.

OPTIONS

       -H number
              size of input image file header in bytes (0 by default). This amount of  data  just
              will be skipped from the start of file while reading.

       -w number
              width  of  input  image  in pixels (can be guessed, see GUESSING THE IMAGE GEOMETRY
              below).

       -l number
              length of input image in lines (can be guessed, see  GUESSING  THE  IMAGE  GEOMETRY
              below).

       -b number
              number of bands in input image (1 by default).

       -d data_type
              type of samples in input image, where data_type may be:
              byte     8-bit unsigned integer (default),
              short    16-bit unsigned integer,
              long     32-bit unsigned integer,
              sbyte    8-bit signed integer,
              sshort   16-bit signed integer,
              slong    32-bit signed integer,
              float    32-bit IEEE floating point,
              double   64-bit IEEE floating point.

       -i config
              type of samples interleaving in input image, where config may be:
              pixel   pixel interleaved data (default),
              band    band interleaved data.

       -p photo
              photometric interpretation (color space) of the input image, where photo may be:
              miniswhite   white color represented with 0 value,
              minisblack   black color represented with 0 value (default),
              rgb          image has RGB color model,
              cmyk         image has CMYK (separated) color model,
              ycbcr        image has YCbCr color model,
              cielab       image has CIE L*a*b color model,
              icclab       image has ICC L*a*b color model,
              itulab       image has ITU L*a*b color model.

       -s     swap bytes fetched from the input file.

       -L     input data has LSB2MSB bit order (default).

       -M     input data has MSB2LSB bit order.

       -c     Specify  a  compression  scheme  to  use  when  writing  image data: -c none for no
              compression, -c packbits for the PackBits compression algorithm (the  default),  -c
              jpeg  for  the  baseline  JPEG  compression  algorithm,  -c  zip  for  the  Deflate
              compression algorithm, and -c lzw for Lempel-Ziv & Welch.

       -r number
              Write data with a specified number of rows per strip;  by  default  the  number  of
              rows/strip is selected so that each strip is approximately 8 kilobytes.

GUESSING THE IMAGE GEOMETRY

       raw2tiff  can guess image width and height in case one or both of these parameters are not
       specified. If you omit one of those parameters, the complementary one will  be  calculated
       based  on  the file size (taking into account header size, number of bands and data type).
       If you omit both parameters, the statistical approach will be used. Utility  will  compute
       correlation  coefficient  between  two lines at the image center using several appropriate
       line sizes and the highest absolute value of the coefficient will indicate the right  line
       size.  That  is  why  you  should be cautious with the very large images, because guessing
       process may take a while (depending on your system performance). Of  course,  the  utility
       can't  guess  the  header  size,  number of bands and data type, so it should be specified
       manually. If you don't  know  anything  about  your  image,  just  try  with  the  several
       combinations of those options.

       There is no magic, it is just a mathematical statistics, so it can be wrong in some cases.
       But for most ordinary images guessing method will work fine.

SEE ALSO

       pal2rgb(1), tiffinfo(1), tiffcp(1), tiffmedian(1), libtiff(3)

       Libtiff library home page: http://www.remotesensing.org/libtiff/