File: C:/Users/fred/anaconda3/Library/share/doc/tiff/manual/html/_sources/tools/raw2tiff.rst.txt
raw2tiff
========
.. program:: raw2tiff
Synopsis
--------
**raw2tiff** [ *options ] *input.raw* *output.tif*
Description
-----------
:program:`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
-------
.. option:: -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.
.. option:: -w number
Width of input image in pixels (can be guessed, see :ref:`raw-guess` below).
.. option: -l number
length of input image in lines (can be guessed, see :ref:`raw-guess` below).
:option: -b number
number of bands in input image (1 by default).
.. option:: -d datatype
type of samples in input image, where *datatype* may be one of:
========= ===================================
Data type Description
========= ===================================
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
========= ===================================
.. option:: -i config
type of sample interleaving in input image, where *config* may be one of:
============= ================================
Configuration Description
============= ================================
pixel pixel interleaved data (default)
band band interleaved data.
============= ================================
.. option:: -p photo
photometric interpretation (color space) of the input image, where *photo* may
be one of:
=========== ==============================================
Photometric Description
=========== ==============================================
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
=========== ==============================================
.. option:: -s
swap bytes fetched from the input file.
.. option:: -L
input data has LSB2MSB bit order (default).
.. option:: -M
input data has MSB2LSB bit order.
.. option:: -c
Specify a compression scheme to use when writing image data:
:command:`-c none` for no compression,
:command:`-c packbits` for the PackBits compression algorithm (the default),
:command:`-c jpeg` for the baseline JPEG compression algorithm,
:command:`-c zip` for the Deflate compression algorithm,
:command:`\-c lzw` for Lempel-Ziv & Welch.
.. option -r striprows
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.
.. _raw-guess:
Guessing the image geometry
---------------------------
:program:`raw2tif` 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
--------
:doc:`pal2rgb` (1),
:doc:`tiffinfo` (1),
:doc:`tiffcp` (1),
:doc:`tiffmedian` (1),
:doc:`/functions/libtiff` (3tiff)