VIPS is an open source image processing software package. It copes well with large images, works with multi-core processors, working with colour, scientific analysis and general research & development.
The software has two main parts: libvips is the image-processing library and nip2 is the graphical user-interface.
The GUI aims to be about half-way between Photoshop and Excel.
Key Features
- Range of filters.
- Arithmetic operations.
- Colour processing.
- Histrograms.
- Geometric transforms.
- Supports ten pixel formats.
- Supports JPEG, TIFF, PNG and WebP, and scientific formats like FITS, OpenEXR, Matlab, Analyze, PFM, Radiance, OpenSlide and DICOM.
Website: jcupitt.github.io/libvips
Support: Blog
Developer: John Cupitt, Kirk Martinez, Joe Padfield
License: GNU LGPL
VIPS is written in C. Learn C with our recommended free books and free tutorials.
Related Software
| Image Processing Libraries | |
|---|---|
| matplotlib | Python 2D plotting library |
| OpenCV | Library that includes several hundreds of computer vision algorithms |
| VIPS | Fast image processing library with low memory requirements |
| SciPy | Scientific Computing Tools for Python |
| Pillow | Fork of the Python Imaging Library |
| Pillow-SIMD | Highly optimized downstream Pillow fork |
| scikit-image | Collection of algorithms for image processing |
| Kornia | Differentiable computer vision library |
| ImageMagick | Uses multiple computational threads to increase performance |
| GraphicsMagick | Billed as the Swiss army knife of image processing. |
| GEGL | Generic Graphics Library |
| OpenImageIO | Library and utilities for reading, writing and processing image files |
| CImg | Lightweight C++ toolkit for developing image-processing applications |
| Mahotas | Library of fast computer vision algorithms |
| SimpleITK | Image analysis toolkit with a large number of components |
| Netpbm | Toolkit for manipulation of graphic images |
| LibGD | Library for the dynamic creation of images by developers |
Read our verdict in the software roundup.
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