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TIFF2RGBA

NAME

SYNOPSIS

DESCRIPTION

OPTIONS

SEE ALSO

NAME

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tiff2rgba − convert a <small>TIFF</small> image to

RGBA color space

SYNOPSIS

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tiff2rgba [ options ] input.tif

output.tif

DESCRIPTION

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Tiff2rgba converts a wide variety of TIFF images

into an RGBA TIFF image. This includes the ability to

translate different color spaces and photometric

interpretation into RGBA, support for alpha blending, and

translation of many different bit depths into a 32bit RGBA

image.

Internally this program is implemented using the

TIFFReadRGBAImage() function, and it suffers any

limitations of that image. This includes limited support for

> 8 BitsPerSample images, and flaws with some esoteric

combinations of BitsPerSample, photometric interpretation,

block organization and planar configuration.

The generated images are stripped images with four

samples per pixel (red, green, blue and alpha) or if the

−n flag is used, three samples per pixel (red,

green, and blue). The resulting images are always planar

configuration contiguous. For this reason, this program is a

useful utility for transform exotic TIFF files into a form

ingestible by almost any TIFF supporting software.

OPTIONS

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−c

Specify a compression scheme to use when writing image

data: −c none for no compression (the default),

−c packbits for the PackBits compression

algorithm, −c zip for the Deflate compression

algorithm, −c jpeg for the JPEG compression

algorithm, and −c lzw for Lempel-Ziv &

Welch.

−r

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.

−b

Process the image one block (strip/tile) at a time

instead of by reading the whole image into memory at once.

This may be necessary for very large images on systems with

limited RAM.

−n

Drop the alpha component from the output file, producing

a pure RGB file. Currently this does not work if the

−b flag is also in effect.

SEE ALSO

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tiff2bw(1), TIFFReadRGBAImage(3t),

libtiff(3)

Libtiff library home page:

http://www.remotesensing.org/libtiff/