libvips : an image processing library
libvips is a 2D image processing library. Compared to similar libraries, libvips runs quickly and uses little memory. libvips is licensed under the LGPL 2.1+.
It has around 300 operations covering arithmetic, histograms, convolutions, morphological operations, frequency filtering, colour, resampling, statistics and others. It supports a large range of numeric formats, from 8-bit int to 128-bit complex. It supports a good range of image formats, including JPEG, TIFF, PNG, WebP, FITS, Matlab, OpenEXR, PDF, SVG, HDR, PPM, CSV, GIF, Analyze, DeepZoom, and OpenSlide. It can also load images via ImageMagick or GraphicsMagick.
There are packages for most unix-like operating systems and binaries for Windows and OS X.
Building libvips from a source tarball
We keep pre-baked tarballs of releases on the vips website:
Untar, then in the libvips directory you should just be able to do:
Check the summary at the end of
libvips must have
For the vips8 Python binding, you must have
You'll need the dev packages for the file format support you
want. For basic jpeg and tiff support, you'll need
libgsf-1-dev. See the Dependencies section
below for a full list of the things that libvips can be configured to use.
configure is looking OK, compile and install with the usual:
$ make $ sudo make install
By default this will install files to
Building libvips from git
Checkout the latest sources with:
$ git clone git://github.com/jcupitt/libvips.git
Building from git needs more packages, you'll need at least
gobject-introspection, see the dependencies section below. For example:
$ brew install gtk-doc swig
Then build the build system with:
$ CFLAGS="-g -Wall" CXXFLAGS="-g -Wall" \ ./configure --prefix=/home/john/vips --enable-debug $ make $ make install
$ export G_DEBUG=gc-friendly $ export G_SLICE=always-malloc $ valgrind --suppressions=libvips.supp \ --leak-check=yes \ vips ... > vips-vg.log 2>&1
valgrind threading check:
$ valgrind --tool=helgrind vips ... > vips-vg.log 2>&1
$ CC=clang CXX=clang++ ./configure --prefix=/home/john/vips
Clang static analysis:
$ scan-build ./configure --disable-introspection $ scan-build -o scan -v make $ scan-view scan/2013-11-22-2
Clang dynamic analysis:
$ FLAGS="-O1 -g -fsanitize=address" $ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls" $ CC=clang CXX=clang++ LD=clang \ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" LDFLAGS=-fsanitize=address \ ./configure --prefix=/home/john/vips $ FLAGS="-O1 -g -fsanitize=thread" $ FLAGS="$FLAGS -fPIC -pie" $ FLAGS="$FLAGS -fno-omit-frame-pointer -fno-optimize-sibling-calls" $ CC=clang CXX=clang++ LD=clang \ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \ LDFLAGS="-fsanitize=thread -fPIC -pie" \ ./configure --prefix=/home/john/vips
Build with the GCC auto-vectorizer and diagnostics (or just -O3):
$ FLAGS="-O2 -msse4.2 -ffast-math" $ FLAGS="$FLAGS -ftree-vectorize -fdump-tree-vect-details" $ CFLAGS="$FLAGS" CXXFLAGS="$FLAGS" \ ./configure --prefix=/home/john/vips
Static analysis with:
$ cppcheck --force --enable=style . &> cppcheck.log
libvips has to have
dependencies are optional, see below.
If suitable versions are found, libvips will add support for the following
libraries automatically. See
./configure --help for a set of flags to
control library detection. Packages are generally found with
so make sure that is working.
libtiff, giflib and libjpeg do not usually use
pkg-config so libvips looks for
them in the default path and in
$prefix. If you have installed your own
versions of these libraries in a different location, libvips will not see
them. Use switches to libvips configure like:
./configure --prefix=/Users/john/vips \ --with-giflib-includes=/opt/local/include \ --with-giflib-libraries=/opt/local/lib \ --with-tiff-includes=/opt/local/include \ --with-tiff-libraries=/opt/local/lib \ --with-jpeg-includes=/opt/local/include \ --with-jpeg-libraries=/opt/local/lib
CFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \ CXXFLAGS="-g -Wall -I/opt/local/include -L/opt/local/lib" \ ./configure --without-python --prefix=/Users/john/vips
to get libvips to see your builds.
vips8 Python binding
available, libvips will install the vips8 Python binding.
The IJG JPEG library. Use the
-turbo version if you can.
If available, libvips adds support for EXIF metadata in JPEG files.
The standard gif loader. If this is not present, vips will try to load gifs via imagemagick instead.
The usual SVG loader. If this is not present, vips will try to load SVGs via imagemagick instead.
The usual PDF loader. If this is not present, vips will try to load PDFs via imagemagick instead.
If available, libvips adds support for creating image pyramids with
The TIFF library. It needs to be built with support for JPEG and ZIP compression. 3.4b037 and later are known to be OK.
If libvips finds this library, it uses it for fourier transforms.
are available for transforming images with ICC profiles. If
available it is used in preference to
lcms, since it is faster.
libvips uses the standard autoconf tests to work out how to support large files (>2GB) on your system. Any reasonably recent unix should be OK.
If present, libvips can load and save png files.
ImageMagick, or optionally GraphicsMagick
If available, libvips adds support for loading all libMagick-supported
image file types. Use
--with-magickpackage=GraphicsMagick to build against
Imagemagick 6.9+ needs to have been built with
--with-modules. Most packaged
IMs are, I think, but if you are rolling your own, you'll need to pass
this flag to configure.
If you are going to be using libvips with untrusted images, perhaps in a web-server, for example, you should consider the security implications of using a package with such a large attack surface. You might prefer not to enable Magick support.
If available, libvips adds support for text rendering. You need the
package pangoft2 in
If available, vips will accelerate some operations with this run-time compiler.
If available, vips can load images from Matlab save files.
If available, vips can load FITS images.
If available, vips can load and save WebP images.
If available, libvips will directly read (but not write, sadly) OpenEXR images.
If available, libvips can load OpenSlide-supported virtual slide files: Aperio, Hamamatsu, Leica, MIRAX, Sakura, Trestle, and Ventana.
swig, python, python-dev
If available, we build the vips7 python binding.
No guarantees of performance accompany this software, nor is any responsibility assumed on the part of the authors. Please read the licence agreement.