Open Source Mac Image Processing Libraries
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Image Processing Libraries for Mac
View 9 business solutionsBrowse free open source Image Processing Libraries and projects for Mac below. Use the toggles on the left to filter open source Image Processing Libraries by OS, license, language, programming language, and project status.
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GLM
OpenGL Mathematics (GLM)
OpenGL Mathematics (GLM) is a header only C++ mathematics library for graphics software based on the OpenGL Shading Language (GLSL) specifications. GLM provides classes and functions designed and implemented with the same naming conventions and functionality than GLSL so that anyone who knows GLSL, can use GLM as well in C++. This project isn't limited to GLSL features. An extension system, based on the GLSL extension conventions, provides extended capabilities: matrix transformations, quaternions, data packing, random numbers, noise, etc. This library works perfectly with OpenGL but it also ensures interoperability with other third party libraries and SDK. It is a good candidate for software rendering (raytracing / rasterisation), image processing, physics simulations and any development context that requires a simple and convenient mathematics library. GLM is written in C++98 but can take advantage of C++11 when supported by the compiler. -
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Pillow
The friendly Python Imaging Library fork
If you've ever wondered or worried about the future of Python's Imaging Library, it's time to stop. Pillow is here to answer your concerns, and offer you more. Pillow is the friendly fork of the Python Imaging Library or PIL, a library that adds image processing capabilities to your Python interpreter. Why turn to Pillow? Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. While PIL is not officially over yet, with Pillow you can be assured of continuous integration testing, publicized development activity, and regular releases to the Python Package Index. -
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SciPy
SciPy library main repository
This is the main repository for the SciPy library, one of the core packages that make up the SciPy stack. SciPy is an open source software used in the fields of mathematics, science, and engineering, with modules for statistics, optimization, integration, linear algebra, signal and image processing, and many more. The SciPy library contains many of the user-friendly and efficient numerical routines, including those for numerical integration, interpolation, and optimization. SciPy is built to work with NumPy, a software that provides convenient and fast N-dimensional array manipulation. Both SciPy and NumPy run on all popular operating systems, are fast and easy to install, and are powerful yet easy to use. They’re currently depended upon by numerous leading scientists and engineers all over the world. Try them for yourself! -
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Emgu CV
Emgu CV is a cross platform .Net wrapper for OpenCV
Emgu CV is a cross platform .Net wrapper to the OpenCV image processing library. Allowing OpenCV functions to be called from .NET compatible languages such as C#, VB, VC++, IronPython etc. The wrapper can be compiled in Mono and run on Windows, Linux, Mac OS X, iPhone, iPad and Android devices. -
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Point Cloud Library
A standalone, large scale, open project for 2D/3D image processing
The Point Cloud Library (PCL) is a standalone, large scale, open project for 2D/3D image and point cloud processing. PCL is released under the terms of the BSD license, and thus free for commercial and research use. Whether you’ve just discovered PCL or you’re a long time veteran, this page contains links to a set of resources that will help consolidate your knowledge on PCL and 3D processing. An additional Wiki resource for developers is available too. To simplify both usage and development, we split PCL into a series of modular libraries. PCL is cross-platform, and has been successfully compiled and deployed on Linux, MacOS, Windows, and Android. To simplify development, PCL is split into a series of smaller code libraries, that can be compiled separately. This modularity is important for distributing PCL on platforms with reduced computational or size constraints. -
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AwesomeBump
Open Source graphic tool and alternative to Insane Bump
AwesomeBump is a free and open source graphic app written using Qt library. It was made as an alternative to known gimp plugin Insane Bump or the commercial tool Crazy Bump. It is designed to generate normal, height, specular or ambient occlusion, metallic, roughness and other textures from a single image. Most of the image processing is done on GPU so the program runs very fast and all the parameters can be changed in real time. -
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Orfeo ToolBox
OTB is an open-source C++ library for remote sensing images processing
The Orfeo Toolbox is a C++ library for high resolution remote sensing image processing. It is developped by CNES in the frame of the ORFEO program. More information is available at www.orfeo-toolbox.org It is based on the medical image processing library ITK and offers particular functionalities for remote sensing image processing in general and for high spatial resolution images in particular. Targeted algorithms for high resolution optical images (SPOT, Quickbird, Worldview, Landsat, Ikonos), hyperspectral sensors (Hyperion) or SAR (TerraSarX, ERS, Palsar) are available. Orfeo ToolBox has three main access depending on the category of user: write processing chains in C++ using existing filters or creating new ones, use the OTB applications, which is a plugin-based framework allowing to extend high-level processing chains from various environment ( command-line, QT, QGis, Python....) or use Monteverdi, a software for everyday life image manipulation and analysis. -
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JACo Watermark
Add watermark to any image or photo (batch processing available).
A free open source Java application created to help you apply watermarks to your pictures in order to protect them from unauthorized distribution. Different font, color, size and transparency texts or images can be added as a watermark. Batch processing is also provided. -
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CxImage is a C++ image processing library. It can load, save, display, transform images in a very simple and fast way, with transparency, multiple layers and selections, support for BMP GIF JPG PNG MNG TIF ICO TGA PCX J2K JBG RAS PNM RAW PSD
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NOTE: the project has moved to https://scipy.org/scipylib/ --- go there to find latest versions. This sourceforge project contains only old historical versions of the software. SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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SMILI
Scientific Visualisation Made Easy
The Simple Medical Imaging Library Interface (SMILI), pronounced 'smilie', is an open-source, light-weight and easy-to-use medical imaging viewer and library for all major operating systems. The main sMILX application features for viewing n-D images, vector images, DICOMs, anonymizing, shape analysis and models/surfaces with easy drag and drop functions. It also features a number of standard processing algorithms for smoothing, thresholding, masking etc. images and models, both with graphical user interfaces and/or via the command-line. See our YouTube channel for tutorial videos via the homepage. The applications are all built out of a uniform user-interface framework that provides a very high level (Qt) interface to powerful image processing and scientific visualisation algorithms from the Insight Toolkit (ITK) and Visualisation Toolkit (VTK). The framework allows one to build stand-alone medical imaging applications quickly and easily. -
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ArrayFire
ArrayFire, a general purpose GPU library
ArrayFire is a general-purpose tensor library that simplifies the process of software development for the parallel architectures found in CPUs, GPUs, and other hardware acceleration devices. The library serves users in every technical computing market. Data structures in ArrayFire are smartly managed to avoid costly memory transfers and to take advantage of each performance feature provided by the underlying hardware. The community of ArrayFire developers invites you to build with us if you're interested and able to write top performing tensor functions. Together we can fulfill The ArrayFire Mission under an excellent Code of Conduct that promotes a respectful and friendly building experience. Rigorous benchmarks and tests ensuring top performance and numerical accuracy. Cross-platform compatibility with support for CUDA, OpenCL, and native CPU on Windows, Mac, and Linux. Built-in visualization functions through Forge. -
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SuperEmbed.js
Fluid width for YouTube, Vimeo, Vine, VideoPress, DailyMotion, etc.
SuperEmbed.js detects embedded videos from YouTube, Vimeo, Vine, VideoPress, DailyMotion, and more on webpages and makes them responsive. Essentially, this means they stretch to fill their container while still maintaining the content's original aspect ratio. I created SuperEmbed to fix all my issues with existing solutions, including (but not limited to) unnecessary reliance on other libraries, bloated code, and poor fallback support. -
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sharp
High performance Node.js image processing module
The typical use case for this high speed Node.js module is to convert large images in common formats to smaller, web-friendly JPEG, PNG, AVIF and WebP images of varying dimensions. Resizing an image is typically 4x-5x faster than using the quickest ImageMagick and GraphicsMagick settings due to its use of libvips. Colour spaces, embedded ICC profiles and alpha transparency channels are all handled correctly. Lanczos resampling ensures quality is not sacrificed for speed. As well as image resizing, operations such as rotation, extraction, compositing and gamma correction are available. Most modern macOS, Windows and Linux systems running Node.js v10+ do not require any additional install or runtime dependencies. This module supports reading JPEG, PNG, WebP, AVIF, TIFF, GIF and SVG images. Output images can be in JPEG, PNG, WebP, AVIF and TIFF formats as well as uncompressed raw pixel data. Streams, Buffer objects and the filesystem can be used for input and output. -
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BoofCV
BoofCV is an open source Java library for real-time computer vision.
BoofCV is an open source Java library for real-time computer vision and robotics applications. Written from scratch for ease of use and high performance, it provides both basic and advanced features needed for creating a computer vision system. Functionality include optimized low level image processing routines (e.g. convolution, interpolation, gradient) to high level functionality such as image stabilization. Released under an Apache 2.0 license for both academic and commercial use. -
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ImageJ is a public domain Java image processing program inspired by NIH Image for the Macintosh. It runs, either as an online applet or as a downloadable application, on any computer with a Java 1.1 or later. HOME @ http://rsb.info.nih.gov/ij/
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An image postprocessor for the DIY Book Scanner described on instructables.com and diybookscanner.org. Gets images ready for OCR or for PDF. Written in Java based on a partial port of the Leptonica image processing library.
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JPedal JBIG2 Image Decoder
A JBIG2 decoder written for Java under a BSD license
The JPedal JBIG2 Image Decoder is a 100% pure Java image decoder for the JBIG2 file format. The decoder takes the JBIG2 image processing technology developed for the JPedal PDF renderer in 2007 and makes it available as a generic library for more general usage. The JDeli Image Library https://www.idrsolutions.com/jdeli contains a much enhanced and faster version and also provides a complete ImageIO replacement (see https://www.idrsolutions.com/jdeli/imageio-replacement) for Tiff, JPEG, JPEG2000, Png as well as lots of other image formats including Dicom, WMF, PSD, SGI and WebP. -
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SIET, the Simple Image Editing ( Editor ) Tool, is a simple-to-use, handy and free application for such tasks as resizing, cropping, retouching, watermarking, etc... Batch processing is also provided. Because is OS Independent, written in an interpreted language, SIET can run on any platform that has a java virtual machine available. Tested on: Windows 7, Windows XP, Linux Ubuntu, Linux Mint.
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The Camellia library is an open source and cross-platform image processing library, written in plain C. It includes a lot of speed-optimized imaging functions (filtering, morpho, labeling, motion detection, warping, color conversion, project/backproject)
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Open Source Remote Sensing OSSIM project, pronounced "awesome", will leverage existing algorithms/tools/packages from the open source community in construction of the ultimate Remote Sensing/Image Processing/GIS package. osgPlanet extends OSSIM and Op
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Marvin is an image processing framework that provides features for image and video frame manipulation, multithreading image processing, image filtering and analysis, unit testing, performance analysis and addition of new features via plug-in.
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LuaCV
OpenCV library wrapper for Lua language
LuaCV is OpenCV library wrapper for Lua language. Main goal is to access fast image processing library to light-weight, non-type language. Thanks to CMake project is a much easier to compile it under many OS platforms which are supported by OpenCV. LuaCV is being developed at faculty of Electrical Engineering and Communication of Brno University of Technology in Czech republic. Working with: Lua 5.2, OpenCV 2.2-2.4 LuaCV-0.2.0 (svn rev. 62) is last version compatible with Lua 5.1 but working only with OpenCV 2.2 and below. -
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OpenPR stands for Open Pattern Recognition project and is intended to be an open source library for algorithms of image processing, computer vision, natural language processing, pattern recognition, machine learning and the related fields.
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kgclock
Desktop Analog Clock for Linux and notification system
Desktop clock for X Windows/Linux, provides desktop clock and a alert/notification system. Built using Kulina Graphics Library (kglib) and the companion development tool 'kgdevelop', 'kgclock' has very few other dependencies. However Kulina Graphics depends on Graphic Magick for its image processing components. Hence Kulina Graphics depends on Graphic Magick and its dependencies. Kulina Graphics Libray and kgdevelop are available for free download. The binary file for 'kgclock' is statically linked with kulina graphic library and its dependencies and hence should work for any 64bit Linux distribution. A tarball for binary and another source tarball are provided. Also provided is a .deb package which can be installed using 'dpkg -i <package>'. The binary tarball should work for any 64 bit Linux distribution. If one prefers to build from source one need to install Kulina Graphics also. One specialty of 'kgclock' its low cpu usage, after one minute it is negligible.
