From c0b89ac5bfb90835ef01573267020e42d4fe070c Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=C3=B6rg=20Frings-F=C3=BCrst?= Date: Sun, 23 Aug 2015 12:17:05 +0200 Subject: Imported Upstream version 1.8.0 --- tiff/html/man/raw2tiff.1.html | 510 ------------------------------------------ 1 file changed, 510 deletions(-) delete mode 100644 tiff/html/man/raw2tiff.1.html (limited to 'tiff/html/man/raw2tiff.1.html') diff --git a/tiff/html/man/raw2tiff.1.html b/tiff/html/man/raw2tiff.1.html deleted file mode 100644 index 360eb27..0000000 --- a/tiff/html/man/raw2tiff.1.html +++ /dev/null @@ -1,510 +0,0 @@ - - - - - - -RAW2TIFF - - - -

RAW2TIFF

-NAME
-SYNOPSIS
-DESCRIPTION
-OPTIONS
-GUESSING THE IMAGE GEOMETRY
-SEE ALSO
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NAME

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raw2tiff − create a TIFF file from a -raw data

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SYNOPSIS

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raw2tiff [ options ] input.raw -output.tif

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DESCRIPTION

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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.

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OPTIONS

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−H number

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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.

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−w number

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

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−l number

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

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−b number

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

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−d data_type

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type of samples in input image, where data_type -may be:

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byte

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8-bit unsigned integer (default),

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short

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16-bit unsigned integer,

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long

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32-bit unsigned integer,

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sbyte

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8-bit signed integer,

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sshort

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16-bit signed integer,

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slong

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32-bit signed integer,

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float

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32-bit IEEE floating point,

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double

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64-bit IEEE floating point.

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−i config

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type of samples interleaving in input image, where -config may be:

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pixel

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pixel interleaved data (default),

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band

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band interleaved data.

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−p photo

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photometric interpretation (color space) of the input -image, where photo may be:

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miniswhite

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white color represented with 0 value,

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minisblack

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black color represented with 0 value (default),

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rgb

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image has RGB color model,

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cmyk

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image has CMYK (separated) color model,

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ycbcr

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image has YCbCr color model,

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cielab

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image has CIE L*a*b color model,

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icclab

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image has ICC L*a*b color model,

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itulab

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image has ITU L*a*b color model.

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−s

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swap bytes fetched from the input file.

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−L

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input data has LSB2MSB bit order (default).

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−M

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input data has MSB2LSB bit order.

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−c

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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.

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−r number

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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.

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GUESSING THE IMAGE GEOMETRY

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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.

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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.

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SEE ALSO

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

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

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- - -- cgit v1.2.3