raw2tiff [ options ] *input.raw output.tif
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.
- -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.
number of bands in input image (1 by default).
- -d datatype¶
type of samples in input image, where datatype may be one of:
8-bit unsigned integer (default)
16-bit unsigned integer
32-bit unsigned integer
8-bit signed integer
16-bit signed integer
32-bit signed integer
32-bit IEEE floating point
64-bit IEEE floating point
- -i config¶
type of sample interleaving in input image, where config may be one of:
pixel interleaved data (default)
band interleaved data.
- -p photo¶
photometric interpretation (color space) of the input image, where photo may be one of:
white color represented with 0 value
black color represented with 0 value (default)
image has RGB color model
image has CMYK (separated) color model
image has YCbCr color model
image has CIE L*a*b color model
image has ICC L*a*b color model
image has ITU L*a*b color model
swap bytes fetched from the input file.
input data has LSB2MSB bit order (default).
input data has MSB2LSB bit order.
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, -c lzw for Lempel-Ziv & Welch.
Guessing the image geometry¶
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.